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Deviation-159=I€K€M€t€€( VariablesK€M€ÿÿÿÿ€€(AGEK€M€ÿÿÿÿ€€(CHURCH ATTENDANCEK€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ÿÿÿÿ€€(MARITAL (Married =1)K€M€ÿÿÿÿ€€(RACE (White =1)K€M€ÿÿÿÿ€€(GENDER (Male =1)K€M€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEARK€M€t€€(Valid N (listwise)FJNRVZ^bK‰€(KKKKaa‰€AK¢˜Žs–s¢€€(Descriptive Statistics€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€¯€€€( Frequencies€‚ Frequencies€¼þÿÿ¥þÿÿ€€(Title€† Frequenciesíÿÿÿ¼"ArialalP¡{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Frequencies\par } €~þÿÿ€€(Notes€Š Frequencies€sdddd€ €"€$€ &€€)€€é&ö~TæB25-MAY-2006 12:23:58&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User-defined missing values are treated as missing.&€€€(2Statistics are based on all cases with valid data.&€€€(4FREQUENCIES VARIABLES=happy /ORDER= ANALYSIS . &€€)€ € 0:00:00.00&€€)€(€ IA149796NotesFrequencies_NotesI€K€M€Ùt€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€ãt€€(Missing Value HandlingK€M€Ût€€(Definition of MissingK€M€Øt€€( Cases UsedK€M€ t€€(SyntaxK€M€ét€€( ResourcesK€M€ t€€( Elapsed TimeK€M€ ót€€(Total Values Allowed ¼ÀÈÌÐÔØàäèðô  ቀ· iTKKKK}‡\KcŠŠ€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€Žª€ƒþÿÿØþÿÿ€€( Statistics€  Frequencies€sdddd€ €"€$€$€&€€)€(€d•@1369$€&€€)€(€Е@1396 StatisticsFrequencies_Table_StatisticsI€K€M€öt€€( VariablesK€M€ÿÿÿÿ€€(GENERAL HAPPINESS)I€K€M€ët€€( StatisticsK€M€åt€€(NK€M€ôt€€(ValidK€M€ât€€(Missing6:K‰€$˜˜‰€-KK@€€( Statistics€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ª€úýÿÿ6þüÿÿ€€(GENERAL HAPPINESS€ Z Frequencies€dddd€ €"€$€$€ &€€)€(€ðy@415&€€)€(€€ˆ@784&€€)€(€@e@170&€€)€(€d•@1369&€€)€(€Ä•@1393&€€)€(€ð?1&€€)€(€@2&€€)€(€Е@1396&€€)€(€š¥@2765$€ &€€)€(€ v¡.@15.0&€€)€(€µ¸ ó»Z<@28.4&€€)€(€0ñC×—@6.1&€€)€(€ƒ]F(ÁH@49.5&€€)€(€a~W‹›0I@50.4&€€)€(€ %0Øe„¢?.0&€€)€(€ %0Øe„²?.1&€€)€(€}¢¹×~>I@50.5&€€)€(€Y@100.0$€&€€)€(€ù~¸hP>@30.3&€€)€(€¸hP¢L@57.3&€€)€(€üíìÕ(@12.4&€€)€(€Y@100.0$€&€€)€(€ù~¸hP>@30.3&€€)€(€~`\bBåU@87.6&€€)€(€Y@100.0 FrequenciesFrequencies_Table_FrequenciesI€K€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ôt€€(ValidK€M€ÿÿÿÿ€€( VERY HAPPYK€M€ÿÿÿÿ€€( PRETTY HAPPYK€M€ÿÿÿÿ€€( NOT TOO HAPPYK€M€òt€€(TotalK€M€ât€€(MissingK€M€ÿÿÿÿ€€(NAPK€M€ÿÿÿÿ€€(DKK€M€ÿÿÿÿ€€(NAK€M€òt€€(TotalK€M€òt€€(Total »¿ÃÇÏÓ×Ûß I€K€M€ët€€( StatisticsK€M€Üt€€( FrequencyK€M€æt€€(PercentK€M€õt€€( Valid PercentK€M€Út€€(Cumulative PercentèìðôK‰€² _ovKKKKKKv‰€ãNK^]^€€(GENERAL HAPPINESS€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€^€€€( Correlations€ Correlations€ÜüÿÿÅüÿÿ€€(Title€ Correlationsíÿÿÿ¼"ArialalP¢{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Correlations\par } €ýqþÿÿ€€(Notes€ Correlations€dddd€ €"€$€ &€€)€€mçö~TæB25-MAY-2006 12:23:58&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User-defined missing values are treated as missing.&€€€(_Statistics for each pair of variables are based on all the cases with valid data for that pair.&€€€(YCORRELATIONS /VARIABLES=happy sexfreq age /PRINT=TWOTAIL NOSIG /MISSING=PAIRWISE . &€€)€ €¸…ëQ¸Ž? 0:00:00.02NotesCorrelations_NotesI€K€M€›t€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€t€€(Missing Value HandlingK€M€žt€€(Definition of MissingK€M€œt€€( Cases UsedK€M€ t€€(SyntaxK€M€t€€( ResourcesK€M€ t€€( Elapsed Time KOW[_cgosw  ቀF iTKKKK}‡\Kc‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ ª€£üÿÿYqûÿÿ€€( Correlations€ ž Correlations€dddd€ €"€$€$€$€&€€)€(€ð?1&€€)€(€d•@1369$€&€€$€)€(€fœnPáñº¿-.105&€€)€(€®H擜C?.001&€€)€(€@1060$€&€€)€(€œº6Ь6§¿-.045&€€)€(€è Ú]X+¸?.094&€€)€(€H•@1362$€$€&€€$€)€(€fœnPáñº¿-.105&€€)€(€®H擜C?.001&€€)€(€@1060$€&€€)€(€ð?1&€€)€(€Π@2151$€&€€$€)€(€ÖfôÛú÷Û¿-.437&€€)€(€þ‡Ki5R0+.000&€€)€(€¾ @2143$€$€&€€)€(€œº6Ь6§¿-.045&€€)€(€è Ú]X+¸?.094&€€)€(€H•@1362$€&€€$€)€(€ÖfôÛú÷Û¿-.437&€€)€(€þ‡Ki5R0+.000&€€)€(€¾ @2143$€&€€)€(€ð?1&€€)€(€~¥@2751 CorrelationsCorrelations_Table_CorrelationsI€K€M€‘t€€( StatisticsK€M€˜t€€(Pearson CorrelationK€M€™t€€(Sig. (2-tailed)K€M€”t€€(N I€K€M€t€€( VariablesK€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEARK€M€ÿÿÿÿ€€(AGEI€K€M€•t€€( VariablesK€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEARK€M€ÿÿÿÿ€€(AGE&*.ÿÿ DspAnnotationÿÿDspTextComponentHandle€(8Correlation is significant at the 0.01 level (2-tailed).ion **±ÇÙïK‰€ÿ‡_K‡‰€˜–K˜‰€!_dKd€€( Correlations€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€¢€€€(T-Test€TT-Test€Oûÿÿ8ûÿÿ€€(Title€XT-Testíÿÿÿ¼"ArialalPœ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 T-Test\par } €ýQþÿÿ€€(Notes€\T-Test€dddd€ €"€$€ &€€)€€ã¥÷~TæB25-MAY-2006 12:23:58&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User defined missing values are treated as missing.&€€€(zStatistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.&€€€(aT-TEST GROUPS = Male(0 1) /MISSING = ANALYSIS /VARIABLES = sexfreq /CRITERIA = CI(.95) . &€€)€ €L7‰A`å ? 0:00:00.03Notes T_Test_NotesI€K€M€V$t€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€T$t€€(Missing Value HandlingK€M€W$t€€(Definition of MissingK€M€U$t€€( Cases UsedK€M€ t€€(SyntaxK€M€t€€( ResourcesK€M€ t€€( Elapsed Time ‹—›Ÿ£§¯³·¿  ቀ† iTKKKK}‡\Kc‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€`ª€ûÿÿ…Ÿúÿÿ€€(Group Statistics€ ÞT-Test€dddd€ €"€$€$€$€&€€)€(€\’@1175$€&€€)€(€Ý8=1’Ç@2.60$€&€€)€(€'à—Ì©ˆ@2.067$€&€€)€(€-ǯޮ?.060$€$€&€€)€(€€Ž@976$€&€€)€(€ÖÑæ}ŠË@3.10$€&€€)€(€ˆ±× ©˜þ?1.912$€&€€)€(€·(טôV¯?.061Group StatisticsT_Test_Table_GroupStatisticsI€K€M€e$t€€(Dependent variablesK€M€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEARI€K€M€f$t€€( StatisticsK€M€u$t€€(NK€M€h$t€€(MeanK€M€i$t€€(Std. DeviationK€M€j$t€€(Std. Error Mean#I€K€M€ÿÿÿÿ€€(GENDER (Male =1)K€M€ÿÿÿÿ€€(FemaleK€M€ÿÿÿÿ€€(Male,0K‰€ ––‰€KKaKa‰€'KK€€€(Group Statistics€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€âª€}úÿÿù ùÿÿ€€(Independent Samples Test€ QT-Test€dddd€ €"€$€ $€$€&€€)€(€öÏ”ox?@31.470$€$€&€€)€(€!7‹õð‹X>.000$€$€&€€)€(€^ ¿Ê3À-5.800&€€)€(€BxE^À-5.842$€$€&€€)€(€Ê @2149&€€)€(€›š1ôJ˜ @2124.146$€$€&€€)€(€Á@mîØQ@>.000&€€)€(€ÃD™6Ý9>.000$€$€&€€)€(€äc¦2áà¿-.502&€€)€(€äc¦2áà¿-.502$€$€&€€)€(€¾ÁE'¶?.087&€€)€(€AÃ2®¹þµ?.086$€$€&€€)€(€þK Q~å¿-.672&€€)€(€ÇUÅ$+tå¿-.670$€$€&€€)€(€”÷X'RCÕ¿-.332&€€)€(€ä.WÕ¿-.333Independent Samples Test#T_Test_Table_IndependentSamplesTestI€K€M€d$t€€( AssumptionsK€M€X$t€€(Equal variances assumedK€M€Y$t€€(Equal variances not assumed¡¥I€K€M€e$t€€(Dependent variablesK€M€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR®I€K€M€f$t€€( StatisticsK€M€p$t€€('Levene's Test for Equality of VariancesK€M€q$t€€(FK€M€g$t€€(Sig.K€M€Z$t€€(t-test for Equality of MeansK€M€[$t€€(tK€M€\$t€€(dfK€M€]$t€€(Sig. (2-tailed)K€M€^$t€€(Mean DifferenceK€M€_$t€€(Std. Error DifferenceK€M€a$t€€()95% Confidence Interval of the DifferenceK€M€b$t€€(LowerK€M€c$t€€(Upper »¿ÇËÏÓ×ßã K‰€œrrr‰€©––‰€² KKKK_RRKK_€€(Independent Samples Test€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€U€€€( Crosstabs€ Crosstabs€~ùÿÿgùÿÿ€€(Title€ Crosstabsíÿÿÿ¼"ArialalPŸ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Crosstabs\par } €þÿÿ€€(Notes€  Crosstabs€dddd€ €"€$€ &€€)€€®Gù~TæB25-MAY-2006 12:23:59&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User-defined missing values are treated as missing.&€€€(Statistics for each table are based on all the cases with valid data in the specified range(s) for all variables in each table.&€€€(CROSSTABS /TABLES=happy BY freqdum /FORMAT= AVALUE TABLES /STATISTIC=CHISQ /CELLS= COUNT EXPECTED /COUNT ROUND CELL . &€€)€ €X9´Èv¾Ÿ? 0:00:00.03&€€)€(€@2&€€)€(€Àqü@116508NotesCrosstabs_NotesI€K€M€ t€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€9 t€€(Missing Value HandlingK€M€: t€€(Definition of MissingK€M€; t€€( Cases UsedK€M€ t€€(SyntaxK€M€ t€€( ResourcesK€M€ t€€( Elapsed TimeK€M€ t€€(Dimensions RequestedK€M€ t€€(Cells Available AEMQUY]eimuy}  ቀ< iTKKKK}‡\Kcg€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ª€Eùÿÿ»øÿÿ€€(Case Processing Summary€ œ Crosstabs€dddd€ €"€$€$€$€&€€)€(€@1060$€&€€)€(€VÖÉl +C@38.3%$€$€&€€)€(€¤š@1705$€&€€)€(€ª)6“òÔN@61.7%$€$€&€€)€(€š¥@2765$€&€€)€(€Y@100.0%Case Processing Summary%Crosstabs_Table_CaseProcessingSummaryI€K€M€% t€€(CrosstabulationK€M€€€()GENERAL HAPPINESS * SEXFREQ (Monthly+ =1)ÅI€K€M€ t€€( StatisticsK€M€ t€€(NK€M€ t€€(PercentÎÒI€K€M€ t€€(CasesK€M€ t€€(ValidK€M€ t€€(MissingK€M€. t€€(TotalÛßãK‰€À¢¢‰€ÉKK?‰€ÖKKK@€€(Case Processing Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ ª€™øÿÿZ÷ÿÿ€€(9GENERAL HAPPINESS * SEXFREQ (Monthly+ =1) Crosstabulation€  Crosstabs€dddd€ €"€$€$€$€&€€)€(€ÀY@103&€€)€(€àq@286&€€)€(€€O@63&€€)€(€@|@452$€&€€)€(€ài@207&€€)€(€Ðt@333&€€)€(€Q@68&€€)€(€ƒ@608$€&€€)€(€`s@310&€€)€(€Xƒ@619&€€)€(€``@131&€€)€(€@1060$€$€&€€)€(€–}© †`@132.2&€€)€(€<2l7p@264.0&€€)€(€ÊwdØ îK@55.9&€€)€(€@|@452.0$€&€€)€(€j‚ñVö9f@177.8&€€)€(€ÄÍ“ïÈ0v@355.0&€€)€(€ÄÍ“ïÈR@75.1&€€)€(€ƒ@608.0$€&€€)€(€`s@310.0&€€)€(€Xƒ@619.0&€€)€(€``@131.0&€€)€(€@1060.0CrosstabulationCrosstabs_Table_CrosstabulationI€K€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ÿÿÿÿ€€( VERY HAPPYK€M€ÿÿÿÿ€€( PRETTY HAPPYK€M€ÿÿÿÿ€€( NOT TOO HAPPYK€M€. t€€(TotalfjnrI€K€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€. t€€(Totalƒ‡I€K€M€ t€€( StatisticsK€M€/ t€€(CountK€M€0 t€€(Expected Count”K‰€]_ovKv‰€vSSKS‰€‹Kmm€€(9GENERAL HAPPINESS * SEXFREQ (Monthly+ =1) Crosstabulation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ª€k÷ÿÿ¨˜öÿÿ€€(Chi-Square Tests€ µ Crosstabs€dddd€ €"€$€$€&€€$€)€(€ÓÊ é 0@16.039&€€)€(€ÃH³­ L0@16.297&€€)€(€”j”¸6?*@13.123&€€)€(€@1060$€&€€)€(€@2&€€)€(€@2&€€)€(€ð?1$€&€€)€(€ž?¤<5?.000&€€)€(€4ŽùGó2?.000&€€)€(€N6x™“3?.000Chi Square TestsCrosstabs_Table_ChiSquareTestsI€K€M€ t€€( StatisticsK€M€ t€€(Pearson Chi-SquareK€M€ t€€(Continuity CorrectionK€M€! t€€(Likelihood RatioK€M€" t€€(Linear-by-Linear AssociationK€M€< t€€(N of Valid CasesåéíñõI€K€M€ t€€(ValuesK€M€ t€€(ValueK€M€ t€€(dfK€M€( t€€(Asymp. Sig. (2-sided)þ2„4„€(S0 cells (.0%) have expected count less than 5. The minimum expected count is 55.86.!ÀK‰€à‰ŠpzsЉ€ùKK\\€€(Chi-Square Tests€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€¹€€€( NPar Tests€) NPar Tests€vöÿÿ_öÿÿ€€(Title€- NPar Testsíÿÿÿ¼"ArialalP {\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 NPar Tests\par } €ý8þÿÿ€€(Notes€1 NPar Tests€àDµ dddd€ €"€$€ &€€)€€%ú~TæB25-MAY-2006 12:23:59&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User-defined missing values are treated as missing.&€€€(fStatistics for each test are based on all cases with valid data for the variable(s) used in that test.&€€€(DNPAR TEST /CHISQUARE=happy /EXPECTED=EQUAL /MISSING ANALYSIS. &€€)€ €X9´Èv¾Ÿ? 0:00:00.03&€€)€(€A131072NotesNParTests_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€€€( Cases UsedK€M€ t€€(SyntaxK€M€€€( ResourcesK€M€ t€€( Elapsed TimeK€M€ Ût€$€€(Number of Cases Allowed cgosw{‡‹—›  2„4„€(*Based on availability of workspace memory.Pቀ^ iTKKKK}‡\Kcm‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€5€€€(Chi-Square Test€¾€=öÿÿ&öÿÿ€€(Title€Â NPar Testsíÿÿÿ¼"ArialalP¥{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Chi-Square Test\par } €€€( Frequencies€Æ€öÿÿíõÿÿ€€(Title€Ê NPar Testsíÿÿÿ¼"ArialalP¡{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Frequencies\par } ª€Ëõÿÿ˜>õÿÿ€€(GENERAL HAPPINESS€ Î NPar Tests€dddd€ €"€$€$€&€€)€(€ðy@415&€€)€(€€ˆ@784&€€)€(€@e@170&€€)€(€d•@1369$€&€€)€(€UUUUU…|@456.3&€€)€(€UUUUU…|@456.3&€€)€(€UUUUU…|@456.3$€&€€)€(€¨ªªªªªDÀ-41.3&€€)€(€«ªªªªzt@327.7&€€)€(€UUUUUåqÀ-286.3Chi Square Frequencies$NParTests_Table_ChiSquareFrequenciesI€K€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ÿÿÿÿ€€( VERY HAPPYK€M€ÿÿÿÿ€€( PRETTY HAPPYK€M€ÿÿÿÿ€€( NOT TOO HAPPYK€M€ût€€(Totalý  I€K€M€ót€€( StatisticsK€M€át€€( Observed NK€M€Àt€€( Expected NK€M€ít€€(Residual   K‰€ø_ovKv‰€ WTKW€€(GENERAL HAPPINESS€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€Òª€õÿÿŠlôÿÿ€€(Test Statistics€ :  NPar Tests€dddd€ €"€$€$€&€€)€(€Rqrü*z@418.687&€€)€(€@2&€€)€(€ -;C—-.000Chi Square Test Statistics'NParTests_Table_ChiSquareTestStatisticsI€K€M€ót€€( StatisticsK€M€¶t€$€€( Chi-SquareK€M€ t€€(dfK€M€°t€€( Asymp. Sig.R W [ I€K€M€t€€( VariablesK€M€ÿÿÿÿ€€(GENERAL HAPPINESSd 2„4„€(b0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 456.3.€T K‰€M UKVV‰€_ __€€(Test Statistics€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€> €€€(Oneway€‡ Oneway€Jôÿÿ3ôÿÿ€€(Title€‹ Onewayíÿÿÿ¼"ArialalPœ{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Oneway\par } €ýQþÿÿ€€(Notes€ Oneway€dddd€ €"€$€ &€€)€€ã¥ú~TæB25-MAY-2006 12:23:59&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User-defined missing values are treated as missing.&€€€(fStatistics for each analysis are based on cases with no missing data for any variable in the analysis.&€€€(tONEWAY sexfreq BY church /STATISTICS DESCRIPTIVES /MISSING ANALYSIS /POSTHOC = TUKEY BONFERRONI ALPHA(.05). &€€)€ €)\Âõ(¼? 0:00:00.11Notes Oneway_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€€€( Cases UsedK€M€ t€€(SyntaxK€M€t€€( ResourcesK€M€ t€€( Elapsed Time ¾ Â Ê Î Ò Ö Ú â æ ê ò  ቀ¹ iTKKKK}‡\Kc‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€“ ª€ôÿÿNóÿÿ€€( Descriptives€  Oneway€dddd€ €"€$€$€$€&€€)€(€x‹@879&€€)€(€ˆƒ@625&€€)€(€ðƒ@638&€€)€(€¼ @2142$€$€&€€)€(€ö`ª9f@2.92&€€)€(€¨ÆK7‰A@3.03&€€)€(€< ŽñmÉ@2.47&€€)€(€‡Ã’†Ã’@2.82$€$€&€€)€(€’;6Œj @2.007&€€)€(€ÇŸa\ÿ?1.960&€€)€(€Œ•0¾mP@2.039&€€)€(€@”A‰j@2.015$€$€&€€)€(€Ì[ìmS±?.068&€€)€(€ ñ =´?.078&€€)€(€¸¯Þª«´?.081&€€)€(€På~®ˆK¦?.044$€$€&€€)€(€[pfh/V@2.79&€€)€(€iÑ‹6@2.88&€€)€(€†ÞT½„@2.31&€€)€(€wýÂøßã@2.74$€$€&€€)€(€‘ÇYìCv@3.06&€€)€(€3$ÆâÛ| @3.19&€€)€(€ò7@2.63&€€)€(€—‰b§A@2.91$€$€&€€)€€0&€€)€€0&€€)€€0&€€)€€0$€$€&€€)€€@6&€€)€€@6&€€)€€@6&€€)€€@6 DescriptivesOneway_Table_DescriptivesI€K€M€ªt€€(GroupsK€M€ÿÿÿÿ€€( Not OftenK€M€ÿÿÿÿ€€( SometimesK€M€ÿÿÿÿ€€(OftenK€M€Át€€(Total “ — › I€K€M€¥t€€(Dependent VariableK€M€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR¤ I€K€M€»t€€( StatisticsK€M€³t€€(NK€M€¯t€€(MeanK€M€¼t€€(Std. DeviationK€M€½t€€( Std. ErrorK€M€t€€( 95% Confidence Interval for MeanK€M€­t€€( Lower BoundK€M€Ãt€€( Upper BoundK€M€²t€€(MinimumK€M€®t€€(Maximum­ ± µ ¹ Á Å É Í K‰€Š KVKKV‰€Ÿ ––‰€¨ KKaK__KKa€€( Descriptives€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ ª€,óÿÿ+òÿÿ€€(ANOVA€ î Oneway€dddd€ €"€$€$€$€&€€)€(€£ªM›\@114.423&€€)€(€§T*ǹÂÀ@8581.451&€€)€(€üï,üïûÀ@8695.875$€$€&€€)€(€@2&€€)€(€¶ @2139&€€)€(€º @2141$€$€&€€)€(€£ªM›L@57.212&€€)€(€œ¬y./ @4.012$€$€&€€)€(€›³Þ\b…,@14.261$€$€&€€)€(€Ôk‚´’ §>.000ANOVAOneway_Table_ANOVAI€K€M€¹t€€(SourceK€M€ t€€(Between GroupsK€M€Çt€€( Within GroupsK€M€Át€€(Total$ ( , I€K€M€¥t€€(Dependent VariableK€M€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR5 I€K€M€»t€€( StatisticsK€M€¿t€€(Sum of SquaresK€M€Êt€€(dfK€M€±t€€( Mean SquareK€M€¨t€€(FK€M€¸t€€(Sig.> B F J N K‰€ sdKs‰€0 ––‰€9 LK_KK_€€(ANOVA€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ò €€€(Post Hoc Tests€o €mòÿÿVòÿÿ€€(Title€s Onewayíÿÿÿ¼"ArialalP¤{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Post Hoc Tests\par } ª€4òÿÿv³ðÿÿ€€(Multiple Comparisons€ w Oneway€dddd€ €"€$€$€$€$€$€$€&€€)€(€@Vuñi»¿-.107&€€)€(€y¬z9Ôº?.105&€€)€(€Ⱦ¶òFâ?.563&€€)€(€ï!0•Ö¿-.35&€€)€(€߈ÎÂ,ÁÁ?.14$€&€€$€)€(€Ð…Æ]æÜ?.452&€€)€(€Cøg4«º?.104&€€)€(€±ÕeÍ?.000&€€)€(€ǯ†Ê?.21&€€)€(€ÔÝ¢Ô±Dæ?.70$€$€&€€)€(€@Vuñi»?.107&€€)€(€y¬z9Ôº?.105&€€)€(€Ⱦ¶òFâ?.563&€€)€(€߈ÎÂ,ÁÁ¿-.14&€€)€(€ï!0•Ö?.35$€&€€$€)€(€°íömàá?.559&€€)€(€®f¦Û¼?.113&€€)€(€@©ä„Ã>.000&€€)€(€¿9«È8ÕÒ?.29&€€)€(€€>˜É=Vê?.82$€$€&€€$€)€(€Ð…Æ]æÜ¿-.452&€€)€(€Cøg4«º?.104&€€)€(€±ÕeÍ?.000&€€)€(€ÔÝ¢Ô±Dæ¿-.70&€€)€(€ǯ†Ê¿-.21$€&€€$€)€(€°íömàá¿-.559&€€)€(€®f¦Û¼?.113&€€)€(€@©ä„Ã>.000&€€)€(€€>˜É=Vê¿-.82&€€)€(€¿9«È8ÕÒ¿-.29$€$€$€&€€)€(€@Vuñi»¿-.107&€€)€(€y¬z9Ôº?.105&€€)€(€+§àŸxí?.921&€€)€(€‰Tk©QìÖ¿-.36&€€)€(€ÒRaµ±nÂ?.14$€&€€$€)€(€Ð…Æ]æÜ?.452&€€)€(€Cøg4«º?.104&€€)€(€„š< <?.000&€€)€(€¹J4ÚÉ?.20&€€)€(€l×½¾Ðoæ?.70$€$€&€€)€(€@Vuñi»?.107&€€)€(€y¬z9Ôº?.105&€€)€(€+§àŸxí?.921&€€)€(€ÒRaµ±n¿-.14&€€)€(€‰Tk©QìÖ?.36$€&€€$€)€(€°íömàá?.559&€€)€(€®f¦Û¼?.113&€€)€(€eE²¢ŽÃ>.000&€€)€(€C¦û–æwÒ?.29&€€)€(€>pâæ„ê?.83$€$€&€€$€)€(€Ð…Æ]æÜ¿-.452&€€)€(€Cøg4«º?.104&€€)€(€„š< <?.000&€€)€(€l×½¾Ðoæ¿-.70&€€)€(€¹J4ÚÉ¿-.20$€&€€$€)€(€°íömàá¿-.559&€€)€(€®f¦Û¼?.113&€€)€(€eE²¢ŽÃ>.000&€€)€(€>pâæ„ê¿-.83&€€)€(€C¦û–æwÒ¿-.29Multiple Comparisons Oneway_Table_MultipleComparisonsI€K€M€»t€€( StatisticsK€M€°t€€(Mean Difference (I-J)K€M€½t€€( Std. ErrorK€M€¸t€€(Sig.K€M€ät€€(95% Confidence IntervalK€M€­t€€( Lower BoundK€M€Ãt€€( Upper BoundW [ _ g k I€K€M€Ét€€((J) CHURCH ATTENDANCE RECODEK€M€ÿÿÿÿ€€( Not OftenK€M€ÿÿÿÿ€€( SometimesK€M€ÿÿÿÿ€€(Oftent x | I€K€M€Èt€€((I) CHURCH ATTENDANCE RECODEK€M€ÿÿÿÿ€€( Not OftenK€M€ÿÿÿÿ€€( SometimesK€M€ÿÿÿÿ€€(Often… ‰ I€K€M€ãt€€(TestK€M€Ðt€€( Tukey HSDK€M€×t€€( Bonferroni– š I€K€M€¥t€€(Dependent VariableK€M€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR£ 2„4„€(4The mean difference is significant at the .05 level.igni*– ¸ Ê Û þ 2 C K‰€R UKK___‰€o KVK§€‰€€ KVK§€‰€‘ SNS‰€ž ––€€(Multiple Comparisons€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€{ €€€(Homogeneous Subsets€É €‘ðÿÿzðÿÿ€€(Title€Í Onewayíÿÿÿ¼"ArialalP©{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Homogeneous Subsets\par } ª€Xðÿÿ iïÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR€ Ñ Oneway€dddd€ €"€$€$€$€&€€)€(€ðƒ@638&€€)€(€< ŽñmÉ@2.47$€&€€)€(€x‹@879&€€)€(€ö`ª9f@2.92$€&€€)€(€ˆƒ@625&€€)€(€¨ÆK7‰A@3.03$€&€€)€(€ð?1.000&€€)€(€*'LT΀â?.578Homogeneous SubsetsOneway_Table_HomogeneousSubsetsI€K€M€»t€€( StatisticsK€M€³t€€(NK€M€¾t€€(Subset for alpha = .05K€M€ÿÿÿÿ€)€(€ð?1K€M€ÿÿÿÿ€)€(€@2ü   I€K€M€ÿÿÿÿ€€(CHURCH ATTENDANCE RECODEK€M€ÿÿÿÿ€€(OftenK€M€ÿÿÿÿ€€( Not OftenK€M€ÿÿÿÿ€€( SometimesK€M€¸t€€(Sig.    I€K€M€ãt€€(TestK€M€Ðt€$€–€˜€È€ð€€€ÿ€( Tukey HSD& 2„4„€()Uses Harmonic Mean Sample Size = 696.855.( 2„4„€(rThe group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.ual ( * –€˜€È€€€€€ÿK‰€÷ KKK2‰€ KKVK§€‰€! YY€€(!FREQUENCY OF SEX DURING LAST YEAR€3 €(6Means for groups in homogeneous subsets are displayed.€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€Õ €€€( Regression€R  Regression€Gïÿÿ0ïÿÿ€€(Title€V  Regressioníÿÿÿ¼"ArialalP {\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Regression\par } €ýÛýÿÿ€€(Notes€Z  Regression€@dddd€ €"€$€ &€€)€€+‡ý~TæB25-MAY-2006 12:23:59&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User-defined missing values are treated as missing.&€€€(KStatistics are based on cases with no missing values for any variable used.&€€€(²REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT sexfreq /METHOD=ENTER age Married White happy attend . &€€)€ €ú~j¼t“¨? 0:00:00.05&€€€( 2780 bytes&€€€(0 bytesNotesRegression_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€€€( Cases UsedK€M€ t€€(SyntaxK€M€€€( ResourcesK€M€ t€€( Elapsed TimeK€M€ €€(Memory RequiredK€M€ €€(-Additional Memory Required for Residual Plots  “ › Ÿ £ § « ³ · » Ã Ç Ë  á‰€Š iTKKKK}‡\Kcx}‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€^ ª€ïÿÿPÎíÿÿ€€(Variables Entered/Removed€ ê  Regression€dddd€ €"€$€$€&€€$€€(PCHURCH ATTENDANCE, RACE (White =1), GENERAL HAPPINESS, AGE, MARITAL (Married =1)$€&€€)€(€ÿÿÿÿÿÿïÿ.$€&€€€(EnterVariables Entered Removed(Regression_Table_VariablesEnteredRemovedI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1I€K€M€€€(DetailsK€M€xt€€(Variables EnteredK€M€yt€€(Variables RemovedK€M€zt€€(Method2„4„€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEARt Va€$€€(Variables Entered/Removed2„4„€( All requested variables entered.@õ K‰€K5€‰€ RRKR€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€î ª€¬íÿÿ¢íÿÿ€€( Model Summary€ = Regression€dddd€ €"€$€$€&€€$€)€(€qúÌåJâ?.572$€&€€)€(€Âà®*ÿçÔ?.327$€&€€)€(€4ÿs3C³Ô?.323$€&€€)€(€3g-Å)iú?1.651 Model SummaryRegression_Table_ModelSummaryI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1\I€K€M€Åt€€( StatisticsK€M€¶t€€(RK€M€·t€€(R SquareK€M€t€€(Adjusted R SquareK€M€Ït€€(Std. Error of the Estimateeimq2„4„€(hPredictors: (Constant), CHURCH ATTENDANCE, RACE (White =1), GENERAL HAPPINESS, AGE, MARITAL (Married =1)@HK‰€WK5€‰€`KKO\\€€( Model Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€Aª€ðìÿÿD*ìÿÿ€€(ANOVA€ ” Regression€dddd€ €"€$€$€$€&€€)€(€‚Þ”¦š•@1382.662&€€)€(€5^áÌ D¦@2850.064&€€)€(€»æ•깈°@4232.726$€$€&€€)€(€@5&€€)€(€X@1046&€€)€(€l@1051$€$€&€€)€(€²Ú„Hq@276.532&€€)€(€«G¾z=Ì@2.725$€$€&€€)€(€àK7º[_Y@101.490$€$€&€€$€)€(€²èXÀÁÍó-.000ANOVARegression_Table_ANOVAI€K€M€Ât€€(SourceK€M€¹t€€( RegressionK€M€ºt€€(ResidualK€M€Õt€€(TotalËÏÓI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1ÜI€K€M€Åt€€( StatisticsK€M€Òt€€(Sum of SquaresK€M€ãt€€(dfK€M€¨t€€( Mean SquareK€M€Ÿt€€(FK€M€¾t€€(Sig.åéíñõ2„4„€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR €$€€(ANOVA2„4„€(hPredictors: (Constant), CHURCH ATTENDANCE, RACE (White =1), GENERAL HAPPINESS, AGE, MARITAL (Married =1)@ÃK‰€ÆWKKW‰€×K5€‰€àLK_KK_ü€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€˜ª€ìÿÿ”ëÿÿ€€( Coefficients€  Regression€dddd€ €"€$€$€$€&€€)€((€½î÷ 6@5.553&€€)€((€ 1w®Aj¬¿-.055&€€)€((€\SmÙ õõ?1.372&€€)€((€Oâ`š|‘Ë¿-.215&€€)€((€†ÏµõüÁп-.262&€€)€((€ÔôVôB±¿-.067$€$€&€€)€(€?rî4Ð?.250&€€)€(€.çQ˜çh?.003&€€)€(€´á رl»?.107&€€)€(€0÷ mÚÀ?.125&€€)€(€ù®Ì“«µ?.085&€€)€(€±'f”?.020$€$€&€€)€(€*¼'ãcÞ¿-.475&€€)€(€žÍÐO±Õ?.339&€€)€(€_Àª\§¿-.045&€€)€(€§õFuðÅ´¿-.081&€€)€(€ÌYoPÒ¶¿-.089$€$€&€€)€(€:ïÎ[Ë06@22.191&€€)€(€?6gQXA2À-18.255&€€)€(€ùôöÖž)@12.810&€€)€(€–îC‚û¿-1.719&€€)€(€®ÓÖ÷}¿À-3.094&€€)€(€„Ã1Ë| À-3.436$€$€&€€)€(€Kh¤ýt-.000&€€)€(€øzýýùŸ2.000&€€)€(€0 ò›%ŠÑ8.000&€€)€(€(:‰¨˜úµ?.086&€€)€(€fûß$j¢`?.002&€€)€(€y´u3D?.001 CoefficientsRegression_Table_CoefficientsI€K€M€Üt€€( VariablesK€M€}t€€( (Constant)K€M€ÿÿÿÿ€€(AGEK€M€ÿÿÿÿ€€(MARITAL (Married =1)K€M€ÿÿÿÿ€€(RACE (White =1)K€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ÿÿÿÿ€€(CHURCH ATTENDANCEŒ”˜œ I€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1©I€K€M€Åt€€( StatisticsK€M€Ùt€€(Unstandardized CoefficientsK€M€„t€€(BK€M€Ît€€( Std. ErrorK€M€Ãt€€(Standardized CoefficientsK€M€…t€€(BetaK€M€æt€€(tK€M€¾t€€(Sig.¶ºÂÆÊ2„4„€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEARt Va€$€€( CoefficientsK‰€‡OKŽs˜¢¢‰€¤K5€‰€­ð?ð?Œ%¿Xò‹õ?ð?ð?KKKKKHÑ€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€!€€€( Regression€ï Regression€úêÿÿãêÿÿ€€(Title€ó Regressioníÿÿÿ¼"ArialalP {\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Regression\par } €ýÛýÿÿ€€(Notes€÷ Regression€(dddd€ €"€$€ &€€)€€®Gþ~TæB25-MAY-2006 12:23:59&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User-defined missing values are treated as missing.&€€€(KStatistics are based on cases with no missing values for any variable used.&€€€(¼REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT sexfreq /METHOD=ENTER age Married White happy attend agesquare . &€€)€ €X9´Èv¾Ÿ? 0:00:00.03&€€€( 3164 bytes&€€€(0 bytesNotesRegression_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€€€( Cases UsedK€M€ t€€(SyntaxK€M€€€( ResourcesK€M€ t€€( Elapsed TimeK€M€ €€(Memory RequiredK€M€ €€(-Additional Memory Required for Residual Plots ,08<@DHPTX`dh  ቀ' iTKKKK}‡\Kcx}‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ûª€ÁêÿÿPQéÿÿ€€(Variables Entered/Removed€ ‡ Regression€dddd€ €"€$€$€&€€$€€(]AGE-SQUARED, GENERAL HAPPINESS, CHURCH ATTENDANCE, RACE (White =1), MARITAL (Married =1), AGE$€&€€)€(€ÿÿÿÿÿÿïÿ.$€&€€€(EnterVariables Entered Removed(Regression_Table_VariablesEnteredRemovedI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1¢I€K€M€€€(DetailsK€M€xt€€(Variables EnteredK€M€yt€€(Variables RemovedK€M€zt€€(Method«¯³2„4„€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR1€$€€(Variables Entered/Removed2„4„€( All requested variables entered.@’K‰€K5€‰€¦RRKRº€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€‹ª€/éÿÿ¢•èÿÿ€€( Model Summary€ Ú Regression€dddd€ €"€$€$€&€€$€)€(€ÛNýB¢]â?.574$€&€€)€(€Ä?r ÑÕ?.329$€&€€)€(€ÀRRv»ÕÔ?.326$€&€€)€(€“+|¤^ú?1.648 Model SummaryRegression_Table_ModelSummaryI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1ùI€K€M€Åt€€( StatisticsK€M€¶t€€(RK€M€·t€€(R SquareK€M€t€€(Adjusted R SquareK€M€Ït€€(Std. 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ErrorK€M€Ãt€€(Standardized CoefficientsK€M€…t€€(BetaK€M€æt€€(tK€M€¾t€€(Sig.fjrvz2„4„€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEARt Va€$€€( CoefficientsK‰€3OKŽs˜¢n¢‰€TK5€‰€]ð?ð?Œ%¿Xò‹õ?ð?ð?KKKKKH€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€¾€€€( Regression€Ÿ Regression€jæÿÿSæÿÿ€€(Title€£ Regressioníÿÿÿ¼"ArialalP {\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Regression\par } €ýÛýÿÿ€€(Notes€§ Regression€ dddd€ €"€$€ &€€)€€+‡þ~TæB25-MAY-2006 12:23:59&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(3User-defined missing values are treated as missing.&€€€(KStatistics are based on cases with no missing values for any variable used.&€€€(·REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT sexfreq /METHOD=ENTER age White happy attend Male Married . &€€)€ €sh‘í|?õ? 0:00:01.33&€€€( 3164 bytes&€€€(0 bytesNotesRegression_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€€€( Cases UsedK€M€ t€€(SyntaxK€M€€€( ResourcesK€M€ t€€( Elapsed TimeK€M€ €€(Memory RequiredK€M€ €€(-Additional Memory Required for Residual Plots Üàèìðôø  á‰€× iTKKKK}‡\Kcx}‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€«ª€1æÿÿPÑäÿÿ€€(Variables Entered/Removed€ 7 Regression€dddd€ €"€$€$€&€€$€€(bMARITAL (Married =1), AGE, GENDER (Male =1), RACE (White =1), CHURCH ATTENDANCE, GENERAL HAPPINESS$€&€€)€(€ÿÿÿÿÿÿïÿ.$€&€€€(EnterVariables Entered Removed(Regression_Table_VariablesEnteredRemovedI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1RI€K€M€€€(DetailsK€M€xt€€(Variables EnteredK€M€yt€€(Variables RemovedK€M€zt€€(Method[_c2„4„€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR1€$€€(Variables Entered/Removed2„4„€( All requested variables entered.BK‰€MK5€‰€VRRKRj€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€;ª€¯äÿÿ¢äÿÿ€€( Model Summary€ Š Regression€dddd€ €"€$€$€&€€$€)€(€+-'{Yˆâ?.579$€&€€)€(€h-:HSwÕ?.335$€&€€)€(€ ®J~Î8Õ?.332$€&€€)€(€.zaÝO@ú?1.641 Model SummaryRegression_Table_ModelSummaryI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1©I€K€M€Åt€€( StatisticsK€M€¶t€€(RK€M€·t€€(R SquareK€M€t€€(Adjusted R SquareK€M€Ït€€(Std. 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Error of the Estimatebfjn2„4„€(›Predictors: (Constant), Male x Married Interaction Term, CHURCH ATTENDANCE, RACE (White =1), AGE, GENERAL HAPPINESS, GENDER (Male =1), MARITAL (Married =1)rs: EK‰€TK5€‰€]KKO\\€€( Model Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€>ª€ßÿÿD=Þÿÿ€€(ANOVA€ ‘ Regression€dddd€ €"€$€$€$€&€€)€(€Þ¸ò(ø“–@1444.992&€€)€(€q²ÀwÇ¥@2787.734&€€)€(€»æ•깈°@4232.726$€$€&€€)€(€@7&€€)€(€P@1044&€€)€(€l@1051$€$€&€€)€(€µ®§å­Íi@206.427&€€)€(€q„bv¨\@2.670$€$€&€€)€(€AœŽ¬ŸSS@77.307$€$€&€€$€)€(€#Þiz\aV-.000ANOVARegression_Table_ANOVAI€K€M€Ât€€(SourceK€M€¹t€€( RegressionK€M€ºt€€(ResidualK€M€Õt€€(TotalÈÌÐI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1ÙI€K€M€Åt€€( StatisticsK€M€Òt€€(Sum of SquaresK€M€ãt€€(dfK€M€¨t€€( Mean SquareK€M€Ÿt€€(FK€M€¾t€€(Sig.âæêîò2„4„€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR€$€€(ANOVA2„4„€(›Predictors: (Constant), Male x Married Interaction Term, CHURCH ATTENDANCE, RACE (White =1), AGE, GENERAL HAPPINESS, GENDER (Male =1), MARITAL (Married =1)ERALÀK‰€ÃWKKW‰€ÔK5€‰€ÝLK_KK_ù€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€•ª€Þÿÿ”ùÜÿÿ€€( Coefficients€  Regression€dddd€ €"€$€$€$€&€€)€((€Òɹ?‹@5.136&€€)€((€Zà.¥’hn1À-17.431&€€)€(€ÙrÛÑêÞÀ-2.109&€€)€(€È,>ÒúâÀ-2.986&€€)€(€kŽ [À-2.669&€€)€(€¨A†¹N@4.827&€€)€(€ÆTøï&@11.055&€€)€(€½¢L8 À-3.078$€$€&€€)€(€i'ümÄqò0.000&€€)€(€£Zdÿ_p¤3.000&€€)€(€1»^&¢?.035&€€)€(€4N„Hµg?.003&€€)€(€ [Eªš?.008&€€)€(€iørZ‹¼º>.000&€€)€(€,ÎHrÎ"~:.000&€€)€(€t˜RŠê€a?.002 CoefficientsRegression_Table_CoefficientsI€K€M€Üt€€( VariablesK€M€}t€€( (Constant)K€M€ÿÿÿÿ€€(AGEK€M€ÿÿÿÿ€€(RACE (White =1)K€M€ÿÿÿÿ€€(GENERAL HAPPINESSK€M€ÿÿÿÿ€€(CHURCH ATTENDANCEK€M€ÿÿÿÿ€€(GENDER (Male =1)K€M€ÿÿÿÿ€€(MARITAL (Married =1)K€M€ÿÿÿÿ€€(Male x Married Interaction Term§«¯³·»¿ÃI€K€M€®t€€(ModelK€M€ÿÿÿÿ€)€(€ð?1ÌI€K€M€Åt€€( StatisticsK€M€Ùt€€(Unstandardized CoefficientsK€M€„t€€(BK€M€Ît€€( Std. ErrorK€M€Ãt€€(Standardized CoefficientsK€M€…t€€(BetaK€M€æt€€(tK€M€¾t€€(Sig.ÙÝåéí2„4„€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEARY OF€$€€( CoefficientsK‰€¢OKs˜¢Žr¢‰€ÇK5€‰€Ðð?ð?Œ%¿Xò‹õ?ð?ð?KKKKKHô€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€€€€(Logistic Regression€Logistic Regression€×ÜÿÿÀÜÿÿ€€(Title€Logistic Regressioníÿÿÿ¼"ArialalP©{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Logistic Regression\par } €ý”þÿÿ€€(Notes€Logistic Regression€dddd€ €"€$€ &€€)€€mç TæB25-MAY-2006 12:24:01&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(2User-defined missing values are treated as missing&€€€(ŠLOGISTIC REGRESSION freqdum /METHOD = ENTER age Married White attend happy Male /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) . &€€)€ €Zd;ßO§? 0:00:00.05NotesLogisticRegression_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€t€€( Cases UsedK€M€ t€€(SyntaxK€M€t€€( ResourcesK€M€ t€€( Elapsed Time FJRVZ^bjnrz  ቀA iTKKKK}‡\Kc‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ª€žÜÿÿÅØÛÿÿ€€(Case Processing Summary€ ™Logistic Regression€dddd€ €"€$€$€&€€)€(€p@1052&€€)€(€ v¡C@38.0$€&€€)€(€Äš@1713&€€)€(€ô‰æ^ûùN@62.0$€&€€)€(€š¥@2765&€€)€(€Y@100.0$€&€€)€(€0&€€)€(€.0$€&€€)€(€š¥@2765&€€)€(€Y@100.0Case Processing Summary.LogisticRegression_Table_CaseProcessingSummaryI€K€M€€€( StatisticsK€M€æ7t€€(NK€M€ç7t€€(PercentÊÎI€K€M€è7t€$€€(Unweighted CasesK€M€â7t€€(Selected CasesK€M€é7t€€(Included in AnalysisK€M€ê7t€€( Missing CasesK€M€8t€€(TotalK€M€ã7t€€(Unselected CasesK€M€8t€€(TotalÜàäèì2„4„€(OIf weight is in effect, see classification table for the total number of cases.t isÕK‰€ÅKK?‰€Ò…iK~K…€€(Case Processing Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ª€¶Ûÿÿ ?Ûÿÿ€€(Dependent Variable Encoding€ Logistic Regression€dddd€ €"€$€$€&€€)€(€0$€&€€)€(€ð?1Dependent Variable Encoding2LogisticRegression_Table_DependentVariableEncodingI€K€M€ 8t€€(Internal ValueK€M€ 8t€€(Internal Value%I€K€M€ 8t€€(Original ValueK€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/month.2K‰€ aa‰€)w}}€€(Dependent Variable Encoding€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€€€€(Block 0: Beginning Block€R€ÛÿÿÛÿÿ€€(Title€VLogistic Regressioníÿÿÿ¼"ArialalP®{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 0: Beginning Block\par } ª€äÚÿÿeØÙÿÿ€€(Classification Table€ ZLogistic Regression€dddd€ €"€$€$€$€&€€)€(€0&€€)€(€0|@451&€€)€(€.0$€&€€)€(€0&€€)€(€È‚@601&€€)€(€Y@100.0$€&€€)€(€ž2Ô*ŒL@57.1Classification Table,LogisticRegression_Table_ClassificationTableI€K€M€à7t€€( PredictedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€ä7t€€(Percentage Correct…‰I€K€M€á7t€€(ObservedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€å7t€€(Overall Percentagešž¢I€K€M€8t€€(StepK€M€€€(Step 0«2„4„€("Constant is included in the model. in €$€€(Classification Table2„4„€(The cut value is .500ຠ²K‰€|SS^^‰€‘w}‰€¦K7²€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€^ª€¶ÙÿÿlbÙÿÿ€€(Variables in the Equation€ ÓLogistic Regression€dddd€ €"€$€$€&€€)€(€gœkL`Ò?.287&€€)€(€!é{Á­å¯?.062&€€)€(€³îÏÒ=5@21.241&€€)€(€ð?1&€€)€(€S*0›ûÐ>.000&€€)€(€0å$UNRõ?1.333Variables in the Equation/LogisticRegression_Table_VariablesintheEquationI€K€M€€€( StatisticsK€M€ë7t€€(BK€M€ì7t€€(S.E.K€M€í7t€€(WaldK€M€ô7t€€(dfK€M€õ7t€€(Sig.K€M€î7t€€(Exp(B)ôøüI€K€M€û7t€€(VariableK€M€€€(Step 0K€M€ò7t€€(ConstantK‰€ïKKKKKK9‰€ KG€€(Variables in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€×ª€@Ùÿÿ#zØÿÿ€€(Variables not in the Equation€ 5Logistic Regression€dddd€ €"€$€$€&€€)€(€ÀjaȰÞa@142.959&€€)€(€ð?1&€€)€(€p¥|Û'?9.000$€&€€)€(€K¬.ݯU@86.736&€€)€(€ð?1&€€)€(€ÆF†ßHÍ;.000$€&€€)€(€·g¬µ´óõ?1.372&€€)€(€ð?1&€€)€(€tz .sèÎ?.241$€&€€)€(€[;9àÈ@3.098&€€)€(€ð?1&€€)€(€êêS²´?.078$€&€€)€(€x)íFƒ‰+@13.769&€€)€(€ð?1&€€)€(€Ìß‘ãæ+?.000$€&€€)€(€ê%Â9È8@24.783&€€)€(€ð?1&€€)€(€ÁžžW!†¥>.000$€&€€)€(€ƒ@°-áÿ‘ë?.862$€&€€)€(€͆ÝZq®¿-.059&€€)€(€½õ:}ÞO?.029&€€)€(€;uñ B@4.315&€€)€(€ð?1&€€)€(€ ¦ÕX£?.038&€€)€(€2•û'î?.942$€&€€)€(€cAq:®`Ô¿-.318&€€)€(€=ÜËo¿?.123&€€)€(€­HÂ>7ä@6.723&€€)€(€ð?1&€€)€(€lŠš«h~ƒ?.010&€€)€(€ HU"Fç?.727$€&€€)€(€áÊZ½dÜ?.444&€€)€(€ã“ÖòúÂ?.148&€€)€(€“ø­ %ç!@8.951&€€)€(€ð?1&€€)€(€â·ÕS¶f?.003&€€)€(€ÝWÕß"ïø?1.558$€&€€)€(€°e`@3.047&€€)€(€{?“LƒkØ?.382&€€)€(€-$\.ãâO@63.773&€€)€(€ð?1&€€)€(€Ž> (Ù<.000&€€)€(€B˪u³ 5@21.054Variables in the Equation/LogisticRegression_Table_VariablesintheEquationI€K€M€€€( StatisticsK€M€ë7t€€(BK€M€ì7t€€(S.E.K€M€í7t€€(WaldK€M€ô7t€€(dfK€M€õ7t€€(Sig.K€M€î7t€€(Exp(B)¨¬°´¸¼I€K€M€û7t€€(VariableK€M€€$€€(Step 1K€M€ÿÿÿÿ€€(ageK€M€ÿÿÿÿ€€(MarriedK€M€ÿÿÿÿ€€(WhiteK€M€ÿÿÿÿ€€(attendK€M€ÿÿÿÿ€€(happyK€M€ÿÿÿÿ€€(MaleK€M€ò7t€€(ConstantÊÎÒÖÚÞâ2„4„€(HVariable(s) entered on step 1: age, Married, White, attend, happy, Male.!ÇK‰€£KKKKKK9‰€ÀKKKKKKKG€€(Variables in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€€€€(Logistic Regression€Logistic Regression€ÁÔÿÿªÔÿÿ€€(Title€ Logistic Regressioníÿÿÿ¼"ArialalP©{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Logistic Regression\par } €ý”þÿÿ€€(Notes€ Logistic Regression€(20) CUTdddd€ €"€$€ &€€)€€®G TæB25-MAY-2006 12:24:01&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(2User-defined missing values are treated as missing&€€€(”LOGISTIC REGRESSION freqdum /METHOD = ENTER age Married White attend happy Male agesquare /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) . &€€)€ €Zd;ßO§? 0:00:00.05NotesLogisticRegression_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€t€€( Cases UsedK€M€ t€€(SyntaxK€M€t€€( ResourcesK€M€ t€€( Elapsed Time 9=EIMQU]aem  ቀ4 iTKKKK}‡\Kc‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ª€ˆÔÿÿÅÂÓÿÿ€€(Case Processing Summary€ ŒLogistic Regression€ð?dddd€ €"€$€$€&€€)€(€p@1052&€€)€(€ v¡C@38.0$€&€€)€(€Äš@1713&€€)€(€ô‰æ^ûùN@62.0$€&€€)€(€š¥@2765&€€)€(€Y@100.0$€&€€)€(€0&€€)€(€.0$€&€€)€(€š¥@2765&€€)€(€Y@100.0Case Processing Summary.LogisticRegression_Table_CaseProcessingSummaryI€K€M€€€( StatisticsK€M€æ7t€€(NK€M€ç7t€€(Percent½ÁI€K€M€è7t€$€€(Unweighted CasesK€M€â7t€€(Selected CasesK€M€é7t€€(Included in AnalysisK€M€ê7t€€( Missing CasesK€M€8t€€(TotalK€M€ã7t€€(Unselected CasesK€M€8t€€(TotalÏÓ×Ûß2„4„€(OIf weight is in effect, see classification table for the total number of cases. totÈK‰€¸KK?‰€Å…iK~K…€€(Case Processing Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ª€ Óÿÿ )Óÿÿ€€(Dependent Variable Encoding€ Logistic Regression€dddd€ €"€$€$€&€€)€(€0$€&€€)€(€ð?1Dependent Variable Encoding2LogisticRegression_Table_DependentVariableEncodingI€K€M€ 8t€€(Internal ValueK€M€ 8t€€(Internal ValueI€K€M€ 8t€€(Original ValueK€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/month!%K‰€aa‰€w}}€€(Dependent Variable Encoding€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€€€€(Block 0: Beginning Block€E€ÓÿÿðÒÿÿ€€(Title€ILogistic Regressioníÿÿÿ¼"ArialalP®{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 0: Beginning Block\par } ª€ÎÒÿÿeÂÑÿÿ€€(Classification Table€ MLogistic Regression€dddd€ €"€$€$€$€&€€)€(€0&€€)€(€0|@451&€€)€(€.0$€&€€)€(€0&€€)€(€È‚@601&€€)€(€Y@100.0$€&€€)€(€ž2Ô*ŒL@57.1Classification Table,LogisticRegression_Table_ClassificationTableI€K€M€à7t€€( PredictedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€ä7t€€(Percentage Correctx|€I€K€M€á7t€€(ObservedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ 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Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€Êª€*Ñÿÿ#QÐÿÿ€€(Variables not in the Equation€ (Logistic Regression€dddd€ €"€$€$€&€€)€(€ÀjaȰÞa@142.959&€€)€(€ð?1&€€)€(€p¥|Û'?9.000$€&€€)€(€K¬.ݯU@86.736&€€)€(€ð?1&€€)€(€ÆF†ßHÍ;.000$€&€€)€(€·g¬µ´óõ?1.372&€€)€(€ð?1&€€)€(€tz .sèÎ?.241$€&€€)€(€[;9àÈ@3.098&€€)€(€ð?1&€€)€(€êêS²´?.078$€&€€)€(€x)íFƒ‰+@13.769&€€)€(€ð?1&€€)€(€Ìß‘ãæ+?.000$€&€€)€(€ê%Â9È8@24.783&€€)€(€ð?1&€€)€(€ÁžžW!†¥>.000$€&€€)€(€¡Aâçí×c@158.748&€€)€(€ð?1&€€)€(€À^DP—†8.000$€&€€)€(€·+üÜŠq@280.679&€€)€(€@7&€€)€(€.000Variables not in the Equation2LogisticRegression_Table_VariablesnotintheEquationI€K€M€€€( StatisticsK€M€ó7t€€(ScoreK€M€ô7t€€(dfK€M€õ7t€€(Sig.†ŠŽI€K€M€€€(VarnameK€M€€€(Step 0K€M€ö7t€€( VariablesK€M€ÿÿÿÿ€€(ageK€M€ÿÿÿÿ€€(MarriedK€M€ÿÿÿÿ€€(WhiteK€M€ÿÿÿÿ€€(attendK€M€ÿÿÿÿ€€(happyK€M€ÿÿÿÿ€€(MaleK€M€ÿÿÿÿ€€( agesquareK€M€÷7t€€(Overall StatisticsŸ£§«¯³·»K‰€KKK4‰€’KKKKKKRrr€€(Variables not in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€,€€€(Block 1: Method = Enter€Û€/ÐÿÿÐÿÿ€€(Title€ßLogistic Regressioníÿÿÿ¼"ArialalP­{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 1: Method = Enter\par } ª€öÏÿÿ‚|Ïÿÿ€€(#Omnibus Tests of Model Coefficients€ ãLogistic Regression€dddd€ €"€$€$€$€&€€)€(€ÃšÒNt@324.926&€€)€(€@7&€€)€(€.000$€&€€)€(€ÄšÒNt@324.926&€€)€(€@7&€€)€(€.000$€&€€)€(€ÄšÒNt@324.926&€€)€(€@7&€€)€(€ l ï·8S2.000#Omnibus Tests of Model Coefficients8LogisticRegression_Table_OmnibusTestsofModelCoefficientsI€K€M€€€( StatisticsK€M€ý7t€€( Chi-squareK€M€ô7t€€(dfK€M€õ7t€€(Sig.   I€K€M€þ7t€€(ModelK€M€8t€€(StepK€M€8t€€(BlockK€M€þ7t€€(Model! % ) I€K€M€8t€€(StepK€M€€€(Step 12 K‰€ TKKT‰€ KKK5‰€- K7€€(#Omnibus Tests of Model Coefficients€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€çª€ZÏÿÿœÐÎÿÿ€€( Model Summary€ S Logistic Regression€dddd€ €"€$€$€&€€$€)€(€ÓD7ú_‘@1111.994&€€)€(€Ïâ„1Ñ?.266&€€)€(€´DÛ›çÔÖ?.357 Model Summary%LogisticRegression_Table_ModelSummaryI€K€M€€€( StatisticsK€M€8t€€(-2 Log likelihoodK€M€8t€€(Cox & Snell R SquareK€M€8t€€(Nagelkerke R Squarel p t I€K€M€8t€€(StepK€M€ÿÿÿÿ€)€(€ð?1} 2„4„€(bEstimation terminated at iteration number 5 because parameter estimates changed by less than .001.less^ K‰€g PU^^‰€x K2€€€( Model Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€W ª€®Îÿÿe¸Íÿÿ€€(Classification Table€   Logistic Regression€dddd€ €"€$€$€$€&€€)€(€ p@258&€€)€(€ h@193&€€)€(€šP¦ ešL@57.2$€&€€)€(€ÀW@95&€€)€(€ @506&€€)€(€'-†MZ U@84.2$€&€€)€(€æL‡£è'R@72.6Classification Table,LogisticRegression_Table_ClassificationTableI€K€M€à7t€€( PredictedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€ä7t€€(Percentage CorrectË Ï Ó I€K€M€á7t€€(ObservedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€å7t€€(Overall Percentageà ä è I€K€M€8t€€(StepK€M€€€(Step 1ñ 2„4„€(The cut value is .500€$€€(Classification TableK‰€Â SS^^‰€× w}‰€ì K7ø €€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€¤ ª€–Íÿÿr§Ìÿÿ€€(Variables in the Equation€ !Logistic Regression€dddd€ €"€$€$€&€€)€(€^>+`«¢?.036&€€)€(€¨ØÄÓ¦›?.027&€€)€(€ØÊô“›,ý?1.823&€€)€(€ð?1&€€)€(€(ÿzþ¤Æ?.177&€€)€(€<ÀÔ¦˜ð?1.037$€&€€)€(€  ®Ã×ú?1.625&€€)€(€a¾ðQsõÅ?.172&€€)€(€ȯbÎoV@89.747&€€)€(€ð?1&€€)€(€ú§pø©;.000&€€)€(€ó™3 _Q@5.079$€&€€)€(€ô|›?‚Òÿ-.155&€€)€(€hho-{ÉÆ?.178&€€)€(€<ž¦7è?.757&€€)€(€ð?1&€€)€(€ä·$HT™Ø?.384&€€)€(€xÇ”-¹hë?.857$€&€€)€(€NÓÝ$ŒI­¿-.057&€€)€(€(Üî©8‰?.029&€€)€(€Ý10œv@3.933&€€)€(€ð?1&€€)€(€µ ßò;>¨?.047&€€)€(€C™¢º8î?.944$€&€€)€(€m1"ÊpÕ¿-.335&€€)€(€bD&"=x¿?.123&€€)€(€7]¸X)µ@7.427&€€)€(€ð?1&€€)€(€¡\ŒiªQz?.006&€€)€(€#:Šÿãæ?.715$€&€€)€(€NΣ÷õxß?.492&€€)€(€ÝÏM±µ6Ã?.150&€€)€(€<¬w%@10.732&€€)€(€ð?1&€€)€(€o[QZe?Q?.001&€€)€(€˜ÅP»)ú?1.635$€&€€)€(€¢¢ÒâJÚP¿-.001&€€)€(€Tì7.(¨2?.000&€€)€(€ż=*@13.055&€€)€(€ð?1&€€)€(€ð¥_mIÒ3?.000&€€)€(€p*yö“÷ï?.999$€&€€)€(€:)Ÿl%Šð?1.034&€€)€(€KnCMå?.658&€€)€(€á)¯¹@2.465&€€)€(€ð?1&€€)€(€lm”~˽?.116&€€)€(€30áæ~@2.812Variables in the Equation/LogisticRegression_Table_VariablesintheEquationI€K€M€€€( StatisticsK€M€ë7t€€(BK€M€ì7t€€(S.E.K€M€í7t€€(WaldK€M€ô7t€€(dfK€M€õ7t€€(Sig.K€M€î7t€€(Exp(B)¼!À!Ä!È!Ì!Ð!I€K€M€û7t€€(VariableK€M€€$€€(Step 1K€M€ÿÿÿÿ€€(ageK€M€ÿÿÿÿ€€(MarriedK€M€ÿÿÿÿ€€(WhiteK€M€ÿÿÿÿ€€(attendK€M€ÿÿÿÿ€€(happyK€M€ÿÿÿÿ€€(MaleK€M€ÿÿÿÿ€€( agesquareK€M€ò7t€€(ConstantÞ!â!æ!ê!î!ò!ö!ú!2„4„€(SVariable(s) entered on step 1: age, Married, White, attend, happy, Male, agesquare. Û!K‰€·!KKKKKK9‰€Ô!KKKKKKRKR€€(Variables in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€!€€€(Logistic Regression€"Logistic Regression€…ÌÿÿnÌÿÿ€€(Title€!"Logistic Regressioníÿÿÿ¼"ArialalP©{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Logistic Regression\par } €ý”þÿÿ€€(Notes€%"Logistic Regression€dddd€ €"€$€ &€€)€€㥠TæB25-MAY-2006 12:24:01&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(2User-defined missing values are treated as missing&€€€(ŠLOGISTIC REGRESSION freqdum /METHOD = ENTER age White attend happy Male Married /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) . &€€)€ €ð§ÆK7‰á? 0:00:00.55NotesLogisticRegression_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€t€€( Cases UsedK€M€ t€€(SyntaxK€M€t€€( ResourcesK€M€ t€€( Elapsed Time Q"U"]"a"e"i"m"u"y"}"…"  ቀL" iTKKKK}‡\Kc‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€)"ª€LÌÿÿņËÿÿ€€(Case Processing Summary€ ¤"Logistic Regression€dddd€ €"€$€$€&€€)€(€p@1052&€€)€(€ v¡C@38.0$€&€€)€(€Äš@1713&€€)€(€ô‰æ^ûùN@62.0$€&€€)€(€š¥@2765&€€)€(€Y@100.0$€&€€)€(€0&€€)€(€.0$€&€€)€(€š¥@2765&€€)€(€Y@100.0Case Processing Summary.LogisticRegression_Table_CaseProcessingSummaryI€K€M€€€( StatisticsK€M€æ7t€€(NK€M€ç7t€€(PercentÕ"Ù"I€K€M€è7t€$€€(Unweighted CasesK€M€â7t€€(Selected CasesK€M€é7t€€(Included in AnalysisK€M€ê7t€€( Missing CasesK€M€8t€€(TotalK€M€ã7t€€(Unselected CasesK€M€8t€€(Totalç"ë"ï"ó"÷"2„4„€(OIf weight is in effect, see classification table for the total number of cases.!à"K‰€Ð"KK?‰€Ý"…iK~K…€€(Case Processing Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€¨"ª€dËÿÿ íÊÿÿ€€(Dependent Variable Encoding€ #Logistic Regression€dddd€ €"€$€$€&€€)€(€0$€&€€)€(€ð?1Dependent Variable Encoding2LogisticRegression_Table_DependentVariableEncodingI€K€M€ 8t€€(Internal ValueK€M€ 8t€€(Internal Value0#I€K€M€ 8t€€(Original ValueK€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/month9#=#K‰€+#aa‰€4#w}}€€(Dependent Variable Encoding€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€#€€€(Block 0: Beginning Block€]#€ËÊÿÿ´Êÿÿ€€(Title€a#Logistic Regressioníÿÿÿ¼"ArialalP®{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 0: Beginning Block\par } ª€’Êÿÿe†Éÿÿ€€(Classification Table€ e#Logistic Regression€dddd€ €"€$€$€$€&€€)€(€0&€€)€(€0|@451&€€)€(€.0$€&€€)€(€0&€€)€(€È‚@601&€€)€(€Y@100.0$€&€€)€(€ž2Ô*ŒL@57.1Classification Table,LogisticRegression_Table_ClassificationTableI€K€M€à7t€€( PredictedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€ä7t€€(Percentage Correct#”#˜#I€K€M€á7t€€(ObservedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€å7t€€(Overall Percentage¥#©#­#I€K€M€8t€€(StepK€M€€€(Step 0¶#2„4„€("Constant is included in the model.`€$€€(Classification Table2„4„€(The cut value is .500½#K‰€‡#SS^^‰€œ#w}‰€±#K7½#€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€i#ª€dÉÿÿlÉÿÿ€€(Variables in the Equation€ Þ#Logistic Regression€dddd€ €"€$€$€&€€)€(€gœkL`Ò?.287&€€)€(€!é{Á­å¯?.062&€€)€(€³îÏÒ=5@21.241&€€)€(€ð?1&€€)€(€S*0›ûÐ>.000&€€)€(€0å$UNRõ?1.333Variables in the Equation/LogisticRegression_Table_VariablesintheEquationI€K€M€€€( StatisticsK€M€ë7t€€(BK€M€ì7t€€(S.E.K€M€í7t€€(WaldK€M€ô7t€€(dfK€M€õ7t€€(Sig.K€M€î7t€€(Exp(B)ÿ#$$ $$$I€K€M€û7t€€(VariableK€M€€€(Step 0K€M€ò7t€€(Constant $K‰€ú#KKKKKK9‰€$KG€€(Variables in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€â#ª€îÈÿÿ#(Èÿÿ€€(Variables not in the Equation€ @$Logistic Regression€dddd€ 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StatisticsK€M€ë7t€€(BK€M€ì7t€€(S.E.K€M€í7t€€(WaldK€M€ô7t€€(dfK€M€õ7t€€(Sig.K€M€î7t€€(Exp(B)³&·&»&¿&Ã&Ç&I€K€M€û7t€€(VariableK€M€€$€€(Step 1K€M€ÿÿÿÿ€€(ageK€M€ÿÿÿÿ€€(WhiteK€M€ÿÿÿÿ€€(attendK€M€ÿÿÿÿ€€(happyK€M€ÿÿÿÿ€€(MaleK€M€ÿÿÿÿ€€(MarriedK€M€ò7t€€(ConstantÕ&Ù&Ý&á&å&é&í&2„4„€(HVariable(s) entered on step 1: age, White, attend, happy, Male, Married.!Ò&K‰€®&KKKKKK9‰€Ë&KKKKKKKG€€(Variables in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€$&€€€(Logistic Regression€'Logistic Regression€ý„þÿÿ€€(Notes€'Logistic Regression€dddd€ €"€$€ &€€)€€%TæB25-MAY-2006 12:24:02&€€€( &€€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav &€€€(&€€€(&€€€(&€€)€(€š¥@2765&€€€(2User-defined missing values are treated as missing&€€€(—LOGISTIC REGRESSION freqdum /METHOD = ENTER age White attend happy Male Married Male*Married /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) . &€€)€ €X9´Èv¾¯? 0:00:00.06NotesLogisticRegression_NotesI€K€M€€€(ContentsK€M€t€€(Output CreatedK€M€t€€(CommentsK€M€t€€(InputK€M€t€€(DataK€M€t€€(FilterK€M€ t€€(WeightK€M€ t€€( Split FileK€M€ t€€(N of Rows in Working Data FileK€M€€€(Missing Value HandlingK€M€€€(Definition of MissingK€M€t€€( Cases UsedK€M€ t€€(SyntaxK€M€t€€( ResourcesK€M€ t€€( Elapsed Time @'D'L'P'T'X'\'d'h'l't'  ቀ;' iTKKKK}‡\Kc‡€€(Notes€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€'ª€6ÄÿÿÅpÃÿÿ€€(Case Processing Summary€ “'Logistic Regression€dddd€ €"€$€$€&€€)€(€p@1052&€€)€(€ v¡C@38.0$€&€€)€(€Äš@1713&€€)€(€ô‰æ^ûùN@62.0$€&€€)€(€š¥@2765&€€)€(€Y@100.0$€&€€)€(€0&€€)€(€.0$€&€€)€(€š¥@2765&€€)€(€Y@100.0Case Processing Summary.LogisticRegression_Table_CaseProcessingSummaryI€K€M€€€( StatisticsK€M€æ7t€€(NK€M€ç7t€€(PercentÄ'È'I€K€M€è7t€$€€(Unweighted CasesK€M€â7t€€(Selected CasesK€M€é7t€€(Included in AnalysisK€M€ê7t€€( Missing CasesK€M€8t€€(TotalK€M€ã7t€€(Unselected CasesK€M€8t€€(TotalÖ'Ú'Þ'â'æ'2„4„€(OIf weight is in effect, see classification table for the total number of cases.t isÏ'K‰€¿'KK?‰€Ì'…iK~K…€€(Case Processing Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€—'ª€NÃÿÿ ×Âÿÿ€€(Dependent Variable Encoding€ (Logistic Regression€dddd€ €"€$€$€&€€)€(€0$€&€€)€(€ð?1Dependent Variable Encoding2LogisticRegression_Table_DependentVariableEncodingI€K€M€ 8t€€(Internal ValueK€M€ 8t€€(Internal Value(I€K€M€ 8t€€(Original ValueK€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/month((,(K‰€(aa‰€#(w}}€€(Dependent Variable Encoding€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€ (€€€(Block 0: Beginning Block€L(€µÂÿÿžÂÿÿ€€(Title€P(Logistic Regressioníÿÿÿ¼"ArialalP®{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 0: Beginning Block\par } ª€|ÂÿÿepÁÿÿ€€(Classification Table€ T(Logistic Regression€dddd€ €"€$€$€$€&€€)€(€0&€€)€(€0|@451&€€)€(€.0$€&€€)€(€0&€€)€(€È‚@601&€€)€(€Y@100.0$€&€€)€(€ž2Ô*ŒL@57.1Classification Table,LogisticRegression_Table_ClassificationTableI€K€M€à7t€€( PredictedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€ä7t€€(Percentage Correct(ƒ(‡(I€K€M€á7t€€(ObservedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€å7t€€(Overall Percentage”(˜(œ(I€K€M€8t€€(StepK€M€€€(Step 0¥(2„4„€("Constant is included in the model.€$€€(Classification Table2„4„€(The cut value is .500@²º ¬(K‰€v(SS^^‰€‹(w}‰€ (K7¬(€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€X(ª€NÁÿÿlúÀÿÿ€€(Variables in the Equation€ Í(Logistic Regression€dddd€ €"€$€$€&€€)€(€gœkL`Ò?.287&€€)€(€!é{Á­å¯?.062&€€)€(€³îÏÒ=5@21.241&€€)€(€ð?1&€€)€(€S*0›ûÐ>.000&€€)€(€0å$UNRõ?1.333Variables in the Equation/LogisticRegression_Table_VariablesintheEquationI€K€M€€€( StatisticsK€M€ë7t€€(BK€M€ì7t€€(S.E.K€M€í7t€€(WaldK€M€ô7t€€(dfK€M€õ7t€€(Sig.K€M€î7t€€(Exp(B)î(ò(ö(ú(þ()I€K€M€û7t€€(VariableK€M€€€(Step 0K€M€ò7t€€(Constant)K‰€é(KKKKKK9‰€)KG€€(Variables in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€Ñ(ª€ØÀÿÿ#ÿ¿ÿÿ€€(Variables not in the Equation€ /)Logistic Regression€dddd€ €"€$€$€&€€)€(€ÀjaȰÞa@142.959&€€)€(€ð?1&€€)€(€p¥|Û'?9.000$€&€€)€(€·g¬µ´óõ?1.372&€€)€(€ð?1&€€)€(€tz .sèÎ?.241$€&€€)€(€[;9àÈ@3.098&€€)€(€ð?1&€€)€(€êêS²´?.078$€&€€)€(€x)íFƒ‰+@13.769&€€)€(€ð?1&€€)€(€Ìß‘ãæ+?.000$€&€€)€(€ê%Â9È8@24.783&€€)€(€ð?1&€€)€(€ÁžžW!†¥>.000$€&€€)€(€K¬.ݯU@86.736&€€)€(€ð?1&€€)€(€ÆF†ßHÍ;.000$€&€€)€(€«ùñŸ‹@@33.091&€€)€(€ð?1&€€)€(€¨„]EãB>.000$€&€€)€(€´,…qq@279.097&€€)€(€@7&€€)€(€.000Variables not in the Equation2LogisticRegression_Table_VariablesnotintheEquationI€K€M€€€( StatisticsK€M€ó7t€€(ScoreK€M€ô7t€€(dfK€M€õ7t€€(Sig.)‘)•)I€K€M€€€(VarnameK€M€€€(Step 0K€M€ö7t€€( VariablesK€M€ÿÿÿÿ€€(ageK€M€ÿÿÿÿ€€(WhiteK€M€ÿÿÿÿ€€(attendK€M€ÿÿÿÿ€€(happyK€M€ÿÿÿÿ€€(MaleK€M€ÿÿÿÿ€€(MarriedK€M€ÿÿÿÿ€€(Male by MarriedK€M€÷7t€€(Overall Statistics¦)ª)®)²)¶)º)¾)Â)K‰€ˆ)KKK4‰€™)KKKKKKlrr€€(Variables not in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€3)€€€(Block 1: Method = Enter€â)€Ý¿ÿÿÆ¿ÿÿ€€(Title€æ)Logistic Regressioníÿÿÿ¼"ArialalP­{\rtf1\ansi\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 1: Method = Enter\par } ª€¤¿ÿÿ‚*¿ÿÿ€€(#Omnibus Tests of Model Coefficients€ ê)Logistic Regression€dddd€ €"€$€$€$€&€€)€(€Ø|jýs@313.874&€€)€(€@7&€€)€(€.000$€&€€)€(€Ü|jýs@313.874&€€)€(€@7&€€)€(€.000$€&€€)€(€Ü|jýs@313.874&€€)€(€@7&€€)€(€õ‹›q°MÑ2.000#Omnibus Tests of Model Coefficients8LogisticRegression_Table_OmnibusTestsofModelCoefficientsI€K€M€€€( StatisticsK€M€ý7t€€( Chi-squareK€M€ô7t€€(dfK€M€õ7t€€(Sig.***I€K€M€þ7t€€(ModelK€M€8t€€(StepK€M€8t€€(BlockK€M€þ7t€€(Model(*,*0*I€K€M€8t€€(StepK€M€€€(Step 19*K‰€*TKKT‰€#*KKK5‰€4*K7€€(#Omnibus Tests of Model Coefficients€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€î)ª€¿ÿÿœ~¾ÿÿ€€( Model Summary€ Z*Logistic Regression€dddd€ €"€$€$€&€€$€)€(€!,ƒ/Œ‘@1123.046&€€)€(€Ûׄ‚‚Ð?.258&€€)€(€Ìz„S*Ö?.346 Model Summary%LogisticRegression_Table_ModelSummaryI€K€M€€€( StatisticsK€M€8t€€(-2 Log likelihoodK€M€8t€€(Cox & Snell R SquareK€M€8t€€(Nagelkerke R Squares*w*{*I€K€M€8t€€(StepK€M€ÿÿÿÿ€)€(€ð?1„*2„4„€(bEstimation terminated at iteration number 5 because parameter estimates changed by less than .001.r e*K‰€n*PU^^‰€*K2€€€( Model Summary€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€^*ª€\¾ÿÿef½ÿÿ€€(Classification Table€ §*Logistic Regression€dddd€ €"€$€$€$€&€€)€(€ðp@271&€€)€(€€f@180&€€)€(€ ¤µ@Z N@60.1$€&€€)€(€€Z@106&€€)€(€ð~@495&€€)€(€y›Ëò6—T@82.4$€&€€)€(€–ê¹w4R@72.8Classification Table,LogisticRegression_Table_ClassificationTableI€K€M€à7t€€( PredictedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€ä7t€€(Percentage CorrectÒ*Ö*Ú*I€K€M€á7t€€(ObservedK€M€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)K€M€ÿÿÿÿ€€(Less than of equal to 1/monthK€M€ÿÿÿÿ€€(More than 1/monthK€M€å7t€€(Overall Percentageç*ë*ï*I€K€M€8t€€(StepK€M€€€(Step 1ø*2„4„€(The cut value is .500àL» €$€€(Classification TableK‰€É*SS^^‰€Þ*w}‰€ó*K7ÿ*€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€«*ª€D½ÿÿŒU¼ÿÿ€€(Variables in the Equation€ +Logistic Regression€dddd€ €"€$€$€&€€)€(€Ûbí3¿®¿-.060&€€)€(€<†,nÙt?.005&€€)€(€IkEˆøea@139.187&€€)€(€ð?1&€€)€(€–xJAòj9.000&€€)€(€ÜI›¶‡"î?.942$€&€€)€(€®ÛiMB!Æ¿-.173&€€)€(€“smf~óÆ?.179&€€)€(€&²Gþ=Àí?.930&€€)€(€ð?1&€€)€(€¾£ÄR™oÕ?.335&€€)€(€šŽp‚[ëê?.841$€&€€)€(€µË™aúѬ¿-.056&€€)€(€R› .l?.029&€€)€(€c¯6³@3.838&€€)€(€ð?1&€€)€(€›'(ú©©?.050&€€)€(€Jˆ&M?î?.945$€&€€)€(€ÇÎøœµ Ô¿-.322&€€)€(€ §Ê”Ê¿?.123&€€)€(€“²ÞôY@6.838&€€)€(€ð?1&€€)€(€”}ŽKG‚?.009&€€)€(€¤Ï°Óä.ç?.724$€&€€)€(€+!é0ÚÂä?.649&€€)€(€6OÂ|¿È?.193&€€)€(€bXÌnä…&@11.262&€€)€(€ð?1&€€)€(€möå½úíI?.001&€€)€(€þè͈œþ?1.913$€&€€)€(€\†ùãùþ?1.936&€€)€(€ß(;†UzÌ?.222&€€)€(€?'Tá-îR@75.722&€€)€(€ð?1&€€)€(€G9¶- N<.000&€€)€(€ ²°ì_¹@6.931$€&€€)€(€錽¨·à¿-.504&€€)€(€‚ÀÞ[ZÓ?.302&€€)€(€£˜ÌÛ0@2.774&€€)€(€ð?1&€€)€(€UÌÈU‡¸?.096&€€)€(€?½µVã?.604$€&€€)€(€)D ’n@2.929&€€)€(€&ðÄú—ÊØ?.387&€€)€(€»T “•L@57.164&€€)€(€ð?1&€€)€(€­ ¸¹W‘&=.000&€€)€(€kùFP´2@18.704Variables in the Equation/LogisticRegression_Table_VariablesintheEquationI€K€M€€€( StatisticsK€M€ë7t€€(BK€M€ì7t€€(S.E.K€M€í7t€€(WaldK€M€ô7t€€(dfK€M€õ7t€€(Sig.K€M€î7t€€(Exp(B)Ã+Ç+Ë+Ï+Ó+×+I€K€M€û7t€€(VariableK€M€€$€€(Step 1K€M€ÿÿÿÿ€€(ageK€M€ÿÿÿÿ€€(WhiteK€M€ÿÿÿÿ€€(attendK€M€ÿÿÿÿ€€(happyK€M€ÿÿÿÿ€€(MaleK€M€ÿÿÿÿ€€(MarriedK€M€ÿÿÿÿ€€(Male by MarriedK€M€ò7t€€(Constantå+é+í+ñ+õ+ù+ý+,2„4„€(YVariable(s) entered on step 1: age, White, attend, happy, Male, Married, Male * Married .!â+K‰€¾+KKKKKK9‰€Û+KKKKKKlKl€€(Variables in the Equation€€(€€(‘€6“€“€–€ÿÿÿ˜€Èx xóÿÿÿ¼"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èx óÿÿÿ"Arial–€ÿÿÿ˜€Èhh((óÿÿÿ"Arial(cont.)$H$x¨€!+OlePres000ÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ¥ÚîìšGßd,•h:ðE7̀ƑóÌ€Æÿÿÿÿÿÿÿÿÿÿÿÿ¥ÚîìšGßd,•h:PÅŸÏ€ÆPÅŸÏ€Æÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿþÿÿÿýÿÿÿýÿÿÿýÿÿÿýÿÿÿýÿÿÿýÿÿÿýÿÿÿèéêëìíîïðñòóôõö÷øùúûüýþÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿ      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£¤¥¦§¨©ª«¬­®¯°±²³´µ¶·¸¹º»¼½¾¿ÀÁÂÃÄÅÆÇÈÉÊËÌÍÎÏÐÑÒÓÔÕÖרÙÚÛÜÝÞßàáâãäåæçèéêëìíîïðñòóôõö÷øùúûüýþÿ      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~€‚ƒ„…†‡ˆ‰Š‹ŒŽ‘’“”•–—˜™š›œžŸ ¡¢£¤¥¦§¨©ª«¬­®¯°±²³´µ¶·¸¹º»¼½¾¿þÿÿÿþÿÿÿÂÃÄÅÆÇÈþÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿÿSPSS Output DocumentcÿÿNavPivotE½ÿÿŒV¼ÿÿÿÿ DspSimpleTextÿÿ DspString(Variables in the EquationÿÿNavTreeViewItem Logistic RegressionÿÿPTPivotControllerddddÿÿ PVPivotViewÿÿ PMPivotModelÿÿNDimensional__DspCellÿÿIndexedCollection€ÿÿDspCell€ÿÿ DspNumber(€Ûbí3¿®¿-.060€€€(€<†,nÙt?.005€€€(€IkEˆøea@139.187€€€(€ð?1€€€(€–xJAòj9.000€€€(€ÜI›¶‡"î?.942€€€€(€®ÛiMB!Æ¿-.173€€€(€“smf~óÆ?.179€€€(€&²Gþ=Àí?.930€€€(€ð?1€€€(€¾£ÄR™oÕ?.335€€€(€šŽp‚[ëê?.841€€€€(€µË™aúѬ¿-.056€€€(€R› .l?.029€€€(€c¯6³@3.838€€€(€ð?1€€€(€›'(ú©©?.050€€€(€Jˆ&M?î?.945€€€€(€ÇÎøœµ Ô¿-.322€€€(€ §Ê”Ê¿?.123€€€(€“²ÞôY@6.838€€€(€ð?1€€€(€”}ŽKG‚?.009€€€(€¤Ï°Óä.ç?.724€€€€(€+!é0ÚÂä?.649€€€(€6OÂ|¿È?.193€€€(€bXÌnä…&@11.262€€€(€ð?1€€€(€möå½úíI?.001€€€(€þè͈œþ?1.913€€€€(€\†ùãùþ?1.936€€€(€ß(;†UzÌ?.222€€€(€?'Tá-îR@75.722€€€(€ð?1€€€(€G9¶- N<.000€€€(€ ²°ì_¹@6.931€€€€(€錽¨·à¿-.504€€€(€‚ÀÞ[ZÓ?.302€€€(€£˜ÌÛ0@2.774€€€(€ð?1€€€(€UÌÈU‡¸?.096€€€(€?½µVã?.604€€€€(€)D ’n@2.929€€€(€&ðÄú—ÊØ?.387€€€(€»T “•L@57.164€€€(€ð?1€€€(€­ ¸¹W‘&=.000€€€(€kùFP´2@18.704Variables in the Equation/LogisticRegression_Table_VariablesintheEquationÿÿPMPivotItemTreeÿÿAbstractTreeBranchÿÿPMModelItemInfo€€( 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³{\rtf1\ansi\ansicpg1252\deff0\deflang1033{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\qr\cf1\f0\fs20 Page &[Page]\par } ‰ÿÿNavRoot€€(Output€ÿÿNavHead€€( Descriptives€$ DescriptivesÿÿNavTitleéÿÿÿ€€(Title€) Descriptivesíÿÿÿ¼"ArialalP®{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Descriptives\par } ÿÿNavNoteýþÿÿ€€(Notes€. 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(2-tailed)¯€±€”t€€(N ­€¯€±€t€€( Variables¯€±€ÿÿÿÿ€€(GENERAL HAPPINESS¯€±€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR¯€±€ÿÿÿÿ€€(AGE $­€¯€±€•t€€( Variables¯€±€ÿÿÿÿ€€(GENERAL HAPPINESS¯€±€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR¯€±€ÿÿÿÿ€€(AGE-15÷€ù€€(8Correlation is significant at the 0.01 level (2-tailed).ion **¸ÎàöKü€‡_K‡ü€˜–K˜ü€(_dKd€€( Correlations€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x©#€€(T-Test€YT-Test(Pûÿÿ9ûÿÿ€€(Title€]T-Testíÿÿÿ¼"ArialalP¨{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 T-Test\par } -ýQþÿÿ€€(Notes€aT-Test €dddd € €€€ €€€€ã¥÷~TæB25-MAY-2006 12:23:58€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(3User defined missing values are treated as missing.€€€(zStatistics for each analysis are based on the cases with no missing or out-of-range data for any variable in the analysis.€€€(aT-TEST GROUPS = Male(0 1) /MISSING = ANALYSIS /VARIABLES = sexfreq /CRITERIA = CI(.95) . €€€ €L7‰A`å ? 0:00:00.03Notes T_Test_Notes­€¯€±€V$t€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€t€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€T$t€€(Missing Value Handling¯€±€W$t€€(Definition of Missing¯€±€U$t€€( Cases Used¯€±€ t€€(Syntax¯€±€t€€( Resources¯€±€ t€€( Elapsed Time ”œ ¤¨¬´¸¼Ä  áü€‹ iTKKKK}‡\Kc‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xe€ûÿÿ… úÿÿ€€(Group Statistics€ ãT-Test €dddd € €€€€€€€€(€\’@1175€€€€(€Ý8=1’Ç@2.60€€€€(€'à—Ì©ˆ@2.067€€€€(€-ǯޮ?.060€€€€€(€€Ž@976€€€€(€ÖÑæ}ŠË@3.10€€€€(€ˆ±× ©˜þ?1.912€€€€(€·(טôV¯?.061Group StatisticsT_Test_Table_GroupStatistics­€¯€±€e$t€€(Dependent variables¯€±€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR­€¯€±€f$t€€( Statistics¯€±€u$t€€(N¯€±€h$t€€(Mean¯€±€i$t€€(Std. 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NPar Tests(wöÿÿ`öÿÿ€€(Title€2  NPar Testsíÿÿÿ¼"ArialalP¬{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 NPar Tests\par } -ý8þÿÿ€€(Notes€6  NPar Tests €àDµ dddd € €€€ €€€€%ú~TæB25-MAY-2006 12:23:59€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(3User-defined missing values are treated as missing.€€€(fStatistics for each test are based on all cases with valid data for the variable(s) used in that test.€€€(DNPAR TEST /CHISQUARE=happy /EXPECTED=EQUAL /MISSING ANALYSIS. €€€ €X9´Èv¾Ÿ? 0:00:00.03€€€(€A131072NotesNParTests_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€t€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€€€( Cases Used¯€±€ t€€(Syntax¯€±€€€( Resources¯€±€ t€€( Elapsed Time¯€±€ Ût€€€(Number of Cases Allowed h l t x | € „ Œ ” œ    ÷€ù€€(*Based on availability of workspace memory.P¢ áü€c iTKKKK}‡\Kcm‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x: #€€(Chi-Square Test€Ã (>öÿÿ'öÿÿ€€(Title€Ç  NPar Testsíÿÿÿ¼"ArialalP±{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Chi-Square Test\par } #€€( Frequencies€Ë (öÿÿîõÿÿ€€(Title€Ï  NPar Testsíÿÿÿ¼"ArialalP­{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Frequencies\par } €Ìõÿÿ˜?õÿÿ€€(GENERAL HAPPINESS€ Ó  NPar Tests €dddd € €€€€€€€(€ðy@415€€€(€€ˆ@784€€€(€@e@170€€€(€d•@1369€€€€(€UUUUU…|@456.3€€€(€UUUUU…|@456.3€€€(€UUUUU…|@456.3€€€€(€¨ªªªªªDÀ-41.3€€€(€«ªªªªzt@327.7€€€(€UUUUUåqÀ-286.3Chi Square Frequencies$NParTests_Table_ChiSquareFrequencies­€¯€±€ÿÿÿÿ€€(GENERAL HAPPINESS¯€±€ÿÿÿÿ€€( VERY HAPPY¯€±€ÿÿÿÿ€€( PRETTY HAPPY¯€±€ÿÿÿÿ€€( NOT TOO HAPPY¯€±€ût€€(Total   ­€¯€±€ót€€( Statistics¯€±€át€€( Observed N¯€±€Àt€€( Expected N¯€±€ít€€(Residual   Kü€ý _ovKvü€ WTKW€€(GENERAL HAPPINESS€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x× €õÿÿŠmôÿÿ€€(Test Statistics€ ?  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The minimum expected cell frequency is 456.3.€Y Kü€R UKVVü€d __€€(Test Statistics€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xC #€€(Oneway€Œ Oneway(Kôÿÿ4ôÿÿ€€(Title€ Onewayíÿÿÿ¼"ArialalP¨{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Oneway\par } -ýQþÿÿ€€(Notes€” Oneway €dddd € €€€ €€€€ã¥ú~TæB25-MAY-2006 12:23:59€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(3User-defined missing values are treated as missing.€€€(fStatistics for each analysis are based on cases with no missing data for any variable in the analysis.€€€(tONEWAY sexfreq BY church /STATISTICS DESCRIPTIVES /MISSING ANALYSIS /POSTHOC = TUKEY BONFERRONI ALPHA(.05). €€€ €)\Âõ(¼? 0:00:00.11Notes Oneway_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€t€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€€€( Cases Used¯€±€ t€€(Syntax¯€±€t€€( Resources¯€±€ t€€( Elapsed Time Ã Ç Ï Ó × Û ß ç ë ï ÷  áü€¾ iTKKKK}‡\Kc‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x˜ €ôÿÿOóÿÿ€€( Descriptives€  Oneway €dddd € €€€€€€€€(€x‹@879€€€(€ˆƒ@625€€€(€ðƒ@638€€€(€¼ @2142€€€€€(€ö`ª9f@2.92€€€(€¨ÆK7‰A@3.03€€€(€< ŽñmÉ@2.47€€€(€‡Ã’†Ã’@2.82€€€€€(€’;6Œj @2.007€€€(€ÇŸa\ÿ?1.960€€€(€Œ•0¾mP@2.039€€€(€@”A‰j@2.015€€€€€(€Ì[ìmS±?.068€€€(€ ñ =´?.078€€€(€¸¯Þª«´?.081€€€(€På~®ˆK¦?.044€€€€€(€[pfh/V@2.79€€€(€iÑ‹6@2.88€€€(€†ÞT½„@2.31€€€(€wýÂøßã@2.74€€€€€(€‘ÇYìCv@3.06€€€(€3$ÆâÛ| @3.19€€€(€ò7@2.63€€€(€—‰b§A@2.91€€€€€€0€€€€0€€€€0€€€€0€€€€€€@6€€€€@6€€€€@6€€€€@6 DescriptivesOneway_Table_Descriptives­€¯€±€ªt€€(Groups¯€±€ÿÿÿÿ€€( Not Often¯€±€ÿÿÿÿ€€( Sometimes¯€±€ÿÿÿÿ€€(Often¯€±€Át€€(Total” ˜ œ   ­€¯€±€¥t€€(Dependent Variable¯€±€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR© ­€¯€±€»t€€( Statistics¯€±€³t€€(N¯€±€¯t€€(Mean¯€±€¼t€€(Std. 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Error¯€±€t€€( 95% Confidence Interval for Mean¯€±€­t€€( Lower Bound¯€±€Ãt€€( Upper Bound¯€±€²t€€(Minimum¯€±€®t€€(Maximum² ¶ º ¾ Æ Ê Î Ò Kü€ KVKKVü€¤ ––ü€­ KKaK__KKa€€( Descriptives€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x €-óÿÿ+òÿÿ€€(ANOVA€ ó Oneway €dddd € €€€€€€€€(€£ªM›\@114.423€€€(€§T*ǹÂÀ@8581.451€€€(€üï,üïûÀ@8695.875€€€€€(€@2€€€(€¶ @2139€€€(€º @2141€€€€€(€£ªM›L@57.212€€€(€œ¬y./ @4.012€€€€€(€›³Þ\b…,@14.261€€€€€(€Ôk‚´’ §>.000ANOVAOneway_Table_ANOVA­€¯€±€¹t€€(Source¯€±€ t€€(Between Groups¯€±€Çt€€( Within Groups¯€±€Át€€(Total) - 1 ­€¯€±€¥t€€(Dependent Variable¯€±€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR: ­€¯€±€»t€€( Statistics¯€±€¿t€€(Sum of Squares¯€±€Êt€€(df¯€±€±t€€( Mean Square¯€±€¨t€€(F¯€±€¸t€€(Sig.C G K O S Kü€$ sdKsü€5 ––ü€> LK_KK_€€(ANOVA€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x÷ #€€(Post Hoc Tests€t (nòÿÿWòÿÿ€€(Title€x Onewayíÿÿÿ¼"ArialalP°{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Post Hoc Tests\par } €5òÿÿv´ðÿÿ€€(Multiple Comparisons€ | Oneway €dddd € €€€€€€€€€€€(€@Vuñi»¿-.107€€€(€y¬z9Ôº?.105€€€(€Ⱦ¶òFâ?.563€€€(€ï!0•Ö¿-.35€€€(€߈ÎÂ,ÁÁ?.14€€€€€(€Ð…Æ]æÜ?.452€€€(€Cøg4«º?.104€€€(€±ÕeÍ?.000€€€(€ǯ†Ê?.21€€€(€ÔÝ¢Ô±Dæ?.70€€€€€(€@Vuñi»?.107€€€(€y¬z9Ôº?.105€€€(€Ⱦ¶òFâ?.563€€€(€߈ÎÂ,ÁÁ¿-.14€€€(€ï!0•Ö?.35€€€€€(€°íömàá?.559€€€(€®f¦Û¼?.113€€€(€@©ä„Ã>.000€€€(€¿9«È8ÕÒ?.29€€€(€€>˜É=Vê?.82€€€€€€(€Ð…Æ]æÜ¿-.452€€€(€Cøg4«º?.104€€€(€±ÕeÍ?.000€€€(€ÔÝ¢Ô±Dæ¿-.70€€€(€ǯ†Ê¿-.21€€€€€(€°íömàá¿-.559€€€(€®f¦Û¼?.113€€€(€@©ä„Ã>.000€€€(€€>˜É=Vê¿-.82€€€(€¿9«È8ÕÒ¿-.29€€€€€€(€@Vuñi»¿-.107€€€(€y¬z9Ôº?.105€€€(€+§àŸxí?.921€€€(€‰Tk©QìÖ¿-.36€€€(€ÒRaµ±nÂ?.14€€€€€(€Ð…Æ]æÜ?.452€€€(€Cøg4«º?.104€€€(€„š< <?.000€€€(€¹J4ÚÉ?.20€€€(€l×½¾Ðoæ?.70€€€€€(€@Vuñi»?.107€€€(€y¬z9Ôº?.105€€€(€+§àŸxí?.921€€€(€ÒRaµ±n¿-.14€€€(€‰Tk©QìÖ?.36€€€€€(€°íömàá?.559€€€(€®f¦Û¼?.113€€€(€eE²¢ŽÃ>.000€€€(€C¦û–æwÒ?.29€€€(€>pâæ„ê?.83€€€€€€(€Ð…Æ]æÜ¿-.452€€€(€Cøg4«º?.104€€€(€„š< <?.000€€€(€l×½¾Ðoæ¿-.70€€€(€¹J4ÚÉ¿-.20€€€€€(€°íömàá¿-.559€€€(€®f¦Û¼?.113€€€(€eE²¢ŽÃ>.000€€€(€>pâæ„ê¿-.83€€€(€C¦û–æwÒ¿-.29Multiple Comparisons Oneway_Table_MultipleComparisons­€¯€±€»t€€( Statistics¯€±€°t€€(Mean Difference (I-J)¯€±€½t€€( Std. Error¯€±€¸t€€(Sig.¯€±€ät€€(95% Confidence Interval¯€±€­t€€( Lower Bound¯€±€Ãt€€( Upper Bound\ ` d l p ­€¯€±€Ét€€((J) CHURCH ATTENDANCE RECODE¯€±€ÿÿÿÿ€€( Not Often¯€±€ÿÿÿÿ€€( Sometimes¯€±€ÿÿÿÿ€€(Ofteny } ­€¯€±€Èt€€((I) CHURCH ATTENDANCE RECODE¯€±€ÿÿÿÿ€€( Not Often¯€±€ÿÿÿÿ€€( Sometimes¯€±€ÿÿÿÿ€€(OftenŠ Ž ’ ­€¯€±€ãt€€(Test¯€±€Ðt€€( Tukey HSD¯€±€×t€€( Bonferroni› Ÿ ­€¯€±€¥t€€(Dependent Variable¯€±€ÿÿÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR¨ ÷€ù€€(4The mean difference is significant at the .05 level.igni*› ½ Ï à  % 7 H Kü€W UKK___ü€t KVK§€ü€… KVK§€ü€– SNSü€£ ––€€(Multiple Comparisons€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x€ #€€(Homogeneous Subsets€Î (’ðÿÿ{ðÿÿ€€(Title€Ò Onewayíÿÿÿ¼"ArialalPµ{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Homogeneous Subsets\par } €Yðÿÿ jïÿÿ€€(!FREQUENCY OF SEX DURING LAST YEAR€ Ö Oneway €dddd € €€€€€€€€(€ðƒ@638€€€(€< ŽñmÉ@2.47€€€€(€x‹@879€€€(€ö`ª9f@2.92€€€€(€ˆƒ@625€€€(€¨ÆK7‰A@3.03€€€€(€ð?1.000€€€(€*'LT΀â?.578Homogeneous SubsetsOneway_Table_HomogeneousSubsets­€¯€±€»t€€( Statistics¯€±€³t€€(N¯€±€¾t€€(Subset for alpha = .05¯€±€ÿÿÿÿ€€(€ð?1¯€±€ÿÿÿÿ€€(€@2  ­€¯€±€ÿÿÿÿ€€(CHURCH ATTENDANCE RECODE¯€±€ÿÿÿÿ€€(Often¯€±€ÿÿÿÿ€€( Not Often¯€±€ÿÿÿÿ€€( Sometimes¯€±€¸t€€(Sig."­€¯€±€ãt€€(Test¯€±€Ðt€€ È€ð€€€ÿ€( Tukey HSD+÷€ù€€()Uses Harmonic Mean Sample Size = 696.855.-÷€ù€€(rThe group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.ual - È€€€€€ÿ/Kü€ü KKK2ü€KKVK§€ü€&YY€€(!FREQUENCY OF SEX DURING LAST YEAR€8€(6Means for groups in homogeneous subsets are displayed.€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xÚ #€€( Regression€W Regression(Hïÿÿ1ïÿÿ€€(Title€[ Regressioníÿÿÿ¼"ArialalP¬{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Regression\par } -ýÛýÿÿ€€(Notes€_ Regression €@dddd € €€€ €€€€+‡ý~TæB25-MAY-2006 12:23:59€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(3User-defined missing values are treated as missing.€€€(KStatistics are based on cases with no missing values for any variable used.€€€(²REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT sexfreq /METHOD=ENTER age Married White happy attend . €€€ €ú~j¼t“¨? 0:00:00.05€€€( 2780 bytes€€€(0 bytesNotesRegression_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€€€( Cases Used¯€±€ t€€(Syntax¯€±€€€( Resources¯€±€ t€€( Elapsed Time¯€±€ €€(Memory Required¯€±€ €€(-Additional Memory Required for Residual Plots ”˜ ¤¨¬°¸¼ÀÈÌÐ  áü€ iTKKKK}‡\Kcx}‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xc€ïÿÿPÏíÿÿ€€(Variables Entered/Removed€ ï Regression €dddd € €€€€€€€€(PCHURCH ATTENDANCE, RACE (White =1), GENERAL HAPPINESS, AGE, MARITAL (Married =1)€€€€(€ÿÿÿÿÿÿïÿ.€€€€(EnterVariables Entered Removed(Regression_Table_VariablesEnteredRemoved­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1 ­€¯€±€€€(Details¯€±€xt€€(Variables Entered¯€±€yt€€(Variables Removed¯€±€zt€€(Method÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEARt Va€€€(Variables Entered/Removed÷€ù€€( All requested variables entered.@úKü€K5€ü€RRKR"€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xó€­íÿÿ¢íÿÿ€€( Model Summary€ B Regression €dddd € €€€€€€€€(€qúÌåJâ?.572€€€€(€Âà®*ÿçÔ?.327€€€€(€4ÿs3C³Ô?.323€€€€(€3g-Å)iú?1.651 Model SummaryRegression_Table_ModelSummary­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1a­€¯€±€Åt€€( Statistics¯€±€¶t€€(R¯€±€·t€€(R Square¯€±€t€€(Adjusted R Square¯€±€Ït€€(Std. Error of the Estimatejnrv÷€ù€€(hPredictors: (Constant), CHURCH ATTENDANCE, RACE (White =1), GENERAL HAPPINESS, AGE, MARITAL (Married =1)@MKü€\K5€ü€eKKO\\€€( Model Summary€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xF€ñìÿÿD+ìÿÿ€€(ANOVA€ ™ Regression €dddd € €€€€€€€€(€‚Þ”¦š•@1382.662€€€(€5^áÌ D¦@2850.064€€€(€»æ•깈°@4232.726€€€€€(€@5€€€(€X@1046€€€(€l@1051€€€€€(€²Ú„Hq@276.532€€€(€«G¾z=Ì@2.725€€€€€(€àK7º[_Y@101.490€€€€€€(€²èXÀÁÍó-.000ANOVARegression_Table_ANOVA­€¯€±€Ât€€(Source¯€±€¹t€€( Regression¯€±€ºt€€(Residual¯€±€Õt€€(TotalÐÔØ­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1á­€¯€±€Åt€€( Statistics¯€±€Òt€€(Sum of Squares¯€±€ãt€€(df¯€±€¨t€€( Mean Square¯€±€Ÿt€€(F¯€±€¾t€€(Sig.êîòöú÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR €€€(ANOVA÷€ù€€(hPredictors: (Constant), CHURCH ATTENDANCE, RACE (White =1), GENERAL HAPPINESS, AGE, MARITAL (Married =1)@ÈKü€ËWKKWü€ÜK5€ü€åLK_KK_€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x€ ìÿÿ”ëÿÿ€€( Coefficients€ " Regression €dddd € €€€€€€€€((€½î÷ 6@5.553€€€((€ 1w®Aj¬¿-.055€€€((€\SmÙ õõ?1.372€€€((€Oâ`š|‘Ë¿-.215€€€((€†ÏµõüÁп-.262€€€((€ÔôVôB±¿-.067€€€€€(€?rî4Ð?.250€€€(€.çQ˜çh?.003€€€(€´á رl»?.107€€€(€0÷ mÚÀ?.125€€€(€ù®Ì“«µ?.085€€€(€±'f”?.020€€€€€(€*¼'ãcÞ¿-.475€€€(€žÍÐO±Õ?.339€€€(€_Àª\§¿-.045€€€(€§õFuðÅ´¿-.081€€€(€ÌYoPÒ¶¿-.089€€€€€(€:ïÎ[Ë06@22.191€€€(€?6gQXA2À-18.255€€€(€ùôöÖž)@12.810€€€(€–îC‚û¿-1.719€€€(€®ÓÖ÷}¿À-3.094€€€(€„Ã1Ë| À-3.436€€€€€(€Kh¤ýt-.000€€€(€øzýýùŸ2.000€€€(€0 ò›%ŠÑ8.000€€€(€(:‰¨˜úµ?.086€€€(€fûß$j¢`?.002€€€(€y´u3D?.001 CoefficientsRegression_Table_Coefficients­€¯€±€Üt€€( Variables¯€±€}t€€( (Constant)¯€±€ÿÿÿÿ€€(AGE¯€±€ÿÿÿÿ€€(MARITAL (Married =1)¯€±€ÿÿÿÿ€€(RACE (White =1)¯€±€ÿÿÿÿ€€(GENERAL HAPPINESS¯€±€ÿÿÿÿ€€(CHURCH ATTENDANCE‘•™¡¥­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1®­€¯€±€Åt€€( Statistics¯€±€Ùt€€(Unstandardized Coefficients¯€±€„t€€(B¯€±€Ît€€( Std. Error¯€±€Ãt€€(Standardized Coefficients¯€±€…t€€(Beta¯€±€æt€€(t¯€±€¾t€€(Sig.»¿ÇËÏ÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEARt Va€€€( CoefficientsKü€ŒOKŽs˜¢¢ü€©K5€ü€²ð?ð?Œ%¿Xò‹õ?ð?ð?KKKKKHÖ€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x&#€€( Regression€ô Regression(ûêÿÿäêÿÿ€€(Title€ø Regressioníÿÿÿ¼"ArialalP¬{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Regression\par } -ýÛýÿÿ€€(Notes€ü Regression €(dddd € €€€ €€€€®Gþ~TæB25-MAY-2006 12:23:59€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(3User-defined missing values are treated as missing.€€€(KStatistics are based on cases with no missing values for any variable used.€€€(¼REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT sexfreq /METHOD=ENTER age Married White happy attend agesquare . €€€ €X9´Èv¾Ÿ? 0:00:00.03€€€( 3164 bytes€€€(0 bytesNotesRegression_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€€€( Cases Used¯€±€ t€€(Syntax¯€±€€€( Resources¯€±€ t€€( Elapsed Time¯€±€ €€(Memory Required¯€±€ €€(-Additional Memory Required for Residual Plots 15=AEIMUY]eim  áü€, iTKKKK}‡\Kcx}‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x€ÂêÿÿPRéÿÿ€€(Variables Entered/Removed€ Œ Regression €dddd € €€€€€€€€(]AGE-SQUARED, GENERAL HAPPINESS, CHURCH ATTENDANCE, RACE (White =1), MARITAL (Married =1), AGE€€€€(€ÿÿÿÿÿÿïÿ.€€€€(EnterVariables Entered Removed(Regression_Table_VariablesEnteredRemoved­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1§­€¯€±€€€(Details¯€±€xt€€(Variables Entered¯€±€yt€€(Variables Removed¯€±€zt€€(Method°´¸÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR1€€€(Variables Entered/Removed÷€ù€€( All requested variables entered.@—Kü€¢K5€ü€«RRKR¿€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x€0éÿÿ¢–èÿÿ€€( Model Summary€ ß Regression €dddd € €€€€€€€€(€ÛNýB¢]â?.574€€€€(€Ä?r ÑÕ?.329€€€€(€ÀRRv»ÕÔ?.326€€€€(€“+|¤^ú?1.648 Model SummaryRegression_Table_ModelSummary­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1þ­€¯€±€Åt€€( Statistics¯€±€¶t€€(R¯€±€·t€€(R Square¯€±€t€€(Adjusted R Square¯€±€Ït€€(Std. 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Error¯€±€Ãt€€(Standardized Coefficients¯€±€…t€€(Beta¯€±€æt€€(t¯€±€¾t€€(Sig.kow{÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEARt Va€€€( CoefficientsKü€8OKŽs˜¢n¢ü€YK5€ü€bð?ð?Œ%¿Xò‹õ?ð?ð?KKKKKH†€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xÃ#€€( Regression€¤ Regression(kæÿÿTæÿÿ€€(Title€¨ Regressioníÿÿÿ¼"ArialalP¬{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Regression\par } -ýÛýÿÿ€€(Notes€¬ Regression € dddd € €€€ €€€€+‡þ~TæB25-MAY-2006 12:23:59€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(3User-defined missing values are treated as missing.€€€(KStatistics are based on cases with no missing values for any variable used.€€€(·REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT sexfreq /METHOD=ENTER age White happy attend Male Married . €€€ €sh‘í|?õ? 0:00:01.33€€€( 3164 bytes€€€(0 bytesNotesRegression_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€€€( Cases Used¯€±€ t€€(Syntax¯€±€€€( Resources¯€±€ t€€( Elapsed Time¯€±€ €€(Memory Required¯€±€ €€(-Additional Memory Required for Residual Plots áåíñõùý    áü€Ü iTKKKK}‡\Kcx}‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x°€2æÿÿPÒäÿÿ€€(Variables Entered/Removed€ < Regression €dddd € €€€€€€€€(bMARITAL (Married =1), AGE, GENDER (Male =1), RACE (White =1), CHURCH ATTENDANCE, GENERAL HAPPINESS€€€€(€ÿÿÿÿÿÿïÿ.€€€€(EnterVariables Entered Removed(Regression_Table_VariablesEnteredRemoved­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1W­€¯€±€€€(Details¯€±€xt€€(Variables Entered¯€±€yt€€(Variables Removed¯€±€zt€€(Method`dh÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR1€€€(Variables Entered/Removed÷€ù€€( All requested variables entered.GKü€RK5€ü€[RRKRo€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x@€°äÿÿ¢äÿÿ€€( Model Summary€  Regression €dddd € €€€€€€€€(€+-'{Yˆâ?.579€€€€(€h-:HSwÕ?.335€€€€(€ ®J~Î8Õ?.332€€€€(€.zaÝO@ú?1.641 Model SummaryRegression_Table_ModelSummary­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1®­€¯€±€Åt€€( Statistics¯€±€¶t€€(R¯€±€·t€€(R Square¯€±€t€€(Adjusted R Square¯€±€Ït€€(Std. 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Error¯€±€Ãt€€(Standardized Coefficients¯€±€…t€€(Beta¯€±€æt€€(t¯€±€¾t€€(Sig.'+/÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR€€€( CoefficientsKü€èOKs˜¢Ž¢ü€ K5€ü€ð?ð?Œ%¿Xò‹õ?ð?ð?KKKKKH6€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xs#€€( Regression€T Regression(ëáÿÿÔáÿÿ€€(Title€X Regressioníÿÿÿ¼"ArialalP¬{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Regression\par } -ýÛýÿÿ€€(Notes€\ Regression €dddd € €€€ €€€€é& TæB25-MAY-2006 12:24:01€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(3User-defined missing values are treated as missing.€€€(KStatistics are based on cases with no missing values for any variable used.€€€(ÃREGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT sexfreq /METHOD=ENTER age White happy attend Male Married Interaction . €€€ €ªñÒMb¨? 0:00:00.05€€€( 3588 bytes€€€(0 bytesNotesRegression_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€€€( Cases Used¯€±€ t€€(Syntax¯€±€€€( Resources¯€±€ t€€( Elapsed Time¯€±€ €€(Memory Required¯€±€ €€(-Additional Memory Required for Residual Plots ‘•¡¥©­µ¹½ÅÉÍ  áü€Œ iTKKKK}‡\Kcx}‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x`€²áÿÿPàÿÿ€€(Variables Entered/Removed€ ì Regression €dddd € €€€€€€€€(ƒMale x Married Interaction Term, CHURCH ATTENDANCE, RACE (White =1), AGE, GENERAL HAPPINESS, GENDER (Male =1), MARITAL (Married =1)€€€€(€ÿÿÿÿÿÿïÿ.€€€€(EnterVariables Entered Removed(Regression_Table_VariablesEnteredRemoved­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1­€¯€±€€€(Details¯€±€xt€€(Variables Entered¯€±€yt€€(Variables Removed¯€±€zt€€(Method÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR€€€(Variables Entered/Removed÷€ù€€( All requested variables entered.@÷Kü€K5€ü€ RRKR€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xð€àßÿÿ¢6ßÿÿ€€( Model Summary€ ? Regression €dddd € €€€€€€€€(€ò(©p²â?.584€€€€(€t-gŠCÙÕ?.341€€€€(€¡§¿‚éÕ?.337€€€€(€¥îŽT9%ú?1.634 Model SummaryRegression_Table_ModelSummary­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1^­€¯€±€Åt€€( Statistics¯€±€¶t€€(R¯€±€·t€€(R Square¯€±€t€€(Adjusted R Square¯€±€Ït€€(Std. Error of the Estimategkos÷€ù€€(›Predictors: (Constant), Male x Married Interaction Term, CHURCH ATTENDANCE, RACE (White =1), AGE, GENERAL HAPPINESS, GENDER (Male =1), MARITAL (Married =1)rs: JKü€YK5€ü€bKKO\\€€( Model Summary€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xC€ßÿÿD>Þÿÿ€€(ANOVA€ – Regression €dddd € €€€€€€€€(€Þ¸ò(ø“–@1444.992€€€(€q²ÀwÇ¥@2787.734€€€(€»æ•깈°@4232.726€€€€€(€@7€€€(€P@1044€€€(€l@1051€€€€€(€µ®§å­Íi@206.427€€€(€q„bv¨\@2.670€€€€€(€AœŽ¬ŸSS@77.307€€€€€€(€#Þiz\aV-.000ANOVARegression_Table_ANOVA­€¯€±€Ât€€(Source¯€±€¹t€€( Regression¯€±€ºt€€(Residual¯€±€Õt€€(TotalÍÑÕ­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1Þ­€¯€±€Åt€€( Statistics¯€±€Òt€€(Sum of Squares¯€±€ãt€€(df¯€±€¨t€€( Mean Square¯€±€Ÿt€€(F¯€±€¾t€€(Sig.çëïó÷÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEAR€€€(ANOVA÷€ù€€(›Predictors: (Constant), Male x Married Interaction Term, CHURCH ATTENDANCE, RACE (White =1), AGE, GENERAL HAPPINESS, GENDER (Male =1), MARITAL (Married =1)ERALÅKü€ÈWKKWü€ÙK5€ü€âLK_KK_þ€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xš€Þÿÿ”úÜÿÿ€€( Coefficients€  Regression €dddd € €€€€€€€€((€Òɹ?‹@5.136€€€((€Zà.¥’hn1À-17.431€€€(€ÙrÛÑêÞÀ-2.109€€€(€È,>ÒúâÀ-2.986€€€(€kŽ [À-2.669€€€(€¨A†¹N@4.827€€€(€ÆTøï&@11.055€€€(€½¢L8 À-3.078€€€€€(€i'ümÄqò0.000€€€(€£Zdÿ_p¤3.000€€€(€1»^&¢?.035€€€(€4N„Hµg?.003€€€(€ [Eªš?.008€€€(€iørZ‹¼º>.000€€€(€,ÎHrÎ"~:.000€€€(€t˜RŠê€a?.002 CoefficientsRegression_Table_Coefficients­€¯€±€Üt€€( Variables¯€±€}t€€( (Constant)¯€±€ÿÿÿÿ€€(AGE¯€±€ÿÿÿÿ€€(RACE (White =1)¯€±€ÿÿÿÿ€€(GENERAL HAPPINESS¯€±€ÿÿÿÿ€€(CHURCH ATTENDANCE¯€±€ÿÿÿÿ€€(GENDER (Male =1)¯€±€ÿÿÿÿ€€(MARITAL (Married =1)¯€±€ÿÿÿÿ€€(Male x Married Interaction Term¬°´¸¼ÀÄÈ­€¯€±€®t€€(Model¯€±€ÿÿÿÿ€€(€ð?1Ñ­€¯€±€Åt€€( Statistics¯€±€Ùt€€(Unstandardized Coefficients¯€±€„t€€(B¯€±€Ît€€( Std. Error¯€±€Ãt€€(Standardized Coefficients¯€±€…t€€(Beta¯€±€æt€€(t¯€±€¾t€€(Sig.Þâêîò÷€ù€€(5Dependent Variable: FREQUENCY OF SEX DURING LAST YEARY OF€€€( CoefficientsKü€§OKs˜¢Žr¢ü€ÌK5€ü€Õð?ð?Œ%¿Xò‹õ?ð?ð?KKKKKHù€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x##€€(Logistic Regression€Logistic Regression(ØÜÿÿÁÜÿÿ€€(Title€Logistic Regressioníÿÿÿ¼"ArialalPµ{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Logistic Regression\par } -ý”þÿÿ€€(Notes€Logistic Regression €dddd € €€€ €€€€mç TæB25-MAY-2006 12:24:01€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(2User-defined missing values are treated as missing€€€(ŠLOGISTIC REGRESSION freqdum /METHOD = ENTER age Married White attend happy Male /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) . €€€ €Zd;ßO§? 0:00:00.05NotesLogisticRegression_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€t€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€t€€( Cases Used¯€±€ t€€(Syntax¯€±€t€€( Resources¯€±€ t€€( Elapsed Time KOW[_cgosw  áü€F iTKKKK}‡\Kc‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x#€ŸÜÿÿÅÙÛÿÿ€€(Case Processing Summary€ žLogistic Regression €dddd € €€€€€€€(€p@1052€€€(€ v¡C@38.0€€€€(€Äš@1713€€€(€ô‰æ^ûùN@62.0€€€€(€š¥@2765€€€(€Y@100.0€€€€(€0€€€(€.0€€€€(€š¥@2765€€€(€Y@100.0Case Processing Summary.LogisticRegression_Table_CaseProcessingSummary­€¯€±€€€( Statistics¯€±€æ7t€€(N¯€±€ç7t€€(PercentÏÓ­€¯€±€è7t€€€(Unweighted Cases¯€±€â7t€€(Selected Cases¯€±€é7t€€(Included in Analysis¯€±€ê7t€€( Missing Cases¯€±€8t€€(Total¯€±€ã7t€€(Unselected Cases¯€±€8t€€(Totaláåéíñ÷€ù€€(OIf weight is in effect, see classification table for the total number of cases.t isÚKü€ÊKK?ü€×…iK~K…€€(Case Processing Summary€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x¢€·Ûÿÿ @Ûÿÿ€€(Dependent Variable Encoding€ Logistic Regression €dddd € €€€€€€€(€0€€€€(€ð?1Dependent Variable Encoding2LogisticRegression_Table_DependentVariableEncoding­€¯€±€ 8t€€(Internal Value¯€±€ 8t€€(Internal Value*­€¯€±€ 8t€€(Original Value¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month37Kü€%aaü€.w}}€€(Dependent Variable Encoding€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x#€€(Block 0: Beginning Block€W(ÛÿÿÛÿÿ€€(Title€[Logistic Regressioníÿÿÿ¼"ArialalPº{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 0: Beginning Block\par } €åÚÿÿeÙÙÿÿ€€(Classification Table€ _Logistic Regression €dddd € €€€€€€€€(€0€€€(€0|@451€€€(€.0€€€€(€0€€€(€È‚@601€€€(€Y@100.0€€€€(€ž2Ô*ŒL@57.1Classification Table,LogisticRegression_Table_ClassificationTable­€¯€±€à7t€€( Predicted¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€ä7t€€(Percentage CorrectŠŽ’­€¯€±€á7t€€(Observed¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€å7t€€(Overall PercentageŸ£§­€¯€±€8t€€(Step¯€±€€€(Step 0°÷€ù€€("Constant is included in the model. in €€€(Classification Table÷€ù€€(The cut value is .500ຠ·Kü€SS^^ü€–w}ü€«K7·€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xc€·ÙÿÿlcÙÿÿ€€(Variables in the Equation€ ØLogistic Regression €dddd € €€€€€€€(€gœkL`Ò?.287€€€(€!é{Á­å¯?.062€€€(€³îÏÒ=5@21.241€€€(€ð?1€€€(€S*0›ûÐ>.000€€€(€0å$UNRõ?1.333Variables in the Equation/LogisticRegression_Table_VariablesintheEquation­€¯€±€€€( Statistics¯€±€ë7t€€(B¯€±€ì7t€€(S.E.¯€±€í7t€€(Wald¯€±€ô7t€€(df¯€±€õ7t€€(Sig.¯€±€î7t€€(Exp(B)ùý  ­€¯€±€û7t€€(Variable¯€±€€€(Step 0¯€±€ò7t€€(ConstantKü€ôKKKKKK9ü€KG€€(Variables in the Equation€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xÜ€AÙÿÿ#{Øÿÿ€€(Variables not in the Equation€ :Logistic Regression €dddd € €€€€€€€(€ÀjaȰÞa@142.959€€€(€ð?1€€€(€p¥|Û'?9.000€€€€(€K¬.ݯU@86.736€€€(€ð?1€€€(€ÆF†ßHÍ;.000€€€€(€·g¬µ´óõ?1.372€€€(€ð?1€€€(€tz .sèÎ?.241€€€€(€[;9àÈ@3.098€€€(€ð?1€€€(€êêS²´?.078€€€€(€x)íFƒ‰+@13.769€€€(€ð?1€€€(€Ìß‘ãæ+?.000€€€€(€ê%Â9È8@24.783€€€(€ð?1€€€(€ÁžžW!†¥>.000€€€€(€ƒ@°-á#€€(Block 1: Method = 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€€€€€€€€(€èàÚH—‘@1125.821€€€(€âûã@fbÐ?.256€€€(€%¯á7ÿÕ?.344 Model Summary%LogisticRegression_Table_ModelSummary­€¯€±€€€( Statistics¯€±€8t€€(-2 Log likelihood¯€±€8t€€(Cox & Snell R Square¯€±€8t€€(Nagelkerke R Squareptx­€¯€±€8t€€(Step¯€±€ÿÿÿÿ€€(€ð?1÷€ù€€(bEstimation terminated at iteration number 5 because parameter estimates changed by less than .001. itebKü€kPU^^ü€|K2€€€( Model Summary€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x[€ØÖÿÿeâÕÿÿ€€(Classification Table€ ¤Logistic Regression €dddd € €€€€€€€€(€`p@262€€€(€ g@189€€€(€ ¹¾ë M@58.1€€€€(€@[@109€€€(€À~@492€€€(€J¢;”DwT@81.9€€€€(€u8Š~ëQ@71.7Classification Table,LogisticRegression_Table_ClassificationTable­€¯€±€à7t€€( Predicted¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€ä7t€€(Percentage CorrectÏÓ×­€¯€±€á7t€€(Observed¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ 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%ç!@8.951€€€(€ð?1€€€(€â·ÕS¶f?.003€€€(€ÝWÕß"ïø?1.558€€€€(€°e`@3.047€€€(€{?“LƒkØ?.382€€€(€-$\.ãâO@63.773€€€(€ð?1€€€(€Ž> (Ù<.000€€€(€B˪u³ 5@21.054Variables in the Equation/LogisticRegression_Table_VariablesintheEquation­€¯€±€€€( Statistics¯€±€ë7t€€(B¯€±€ì7t€€(S.E.¯€±€í7t€€(Wald¯€±€ô7t€€(df¯€±€õ7t€€(Sig.¯€±€î7t€€(Exp(B)­±µ¹½Á­€¯€±€û7t€€(Variable¯€±€€€€(Step 1¯€±€ÿÿÿÿ€€(age¯€±€ÿÿÿÿ€€(Married¯€±€ÿÿÿÿ€€(White¯€±€ÿÿÿÿ€€(attend¯€±€ÿÿÿÿ€€(happy¯€±€ÿÿÿÿ€€(Male¯€±€ò7t€€(ConstantÏÓ×Ûßãç÷€ù€€(HVariable(s) entered on step 1: age, Married, White, attend, happy, Male.!ÌKü€¨KKKKKK9ü€ÅKKKKKKKG€€(Variables in the Equation€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x#€€(Logistic Regression€ Logistic Regression(ÂÔÿÿ«Ôÿÿ€€(Title€Logistic Regressioníÿÿÿ¼"ArialalPµ{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Logistic Regression\par } -ý”þÿÿ€€(Notes€Logistic Regression €(20) CUTdddd € €€€ €€€€®G TæB25-MAY-2006 12:24:01€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(2User-defined missing values are treated as missing€€€(”LOGISTIC REGRESSION freqdum /METHOD = ENTER age Married White attend happy Male agesquare /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) . €€€ €Zd;ßO§? 0:00:00.05NotesLogisticRegression_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€t€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€t€€( Cases Used¯€±€ t€€(Syntax¯€±€t€€( Resources¯€±€ t€€( Elapsed Time >BJNRVZbfjr  áü€9 iTKKKK}‡\Kc‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x€‰ÔÿÿÅÃÓÿÿ€€(Case Processing Summary€ ‘Logistic Regression €ð?dddd € €€€€€€€(€p@1052€€€(€ v¡C@38.0€€€€(€Äš@1713€€€(€ô‰æ^ûùN@62.0€€€€(€š¥@2765€€€(€Y@100.0€€€€(€0€€€(€.0€€€€(€š¥@2765€€€(€Y@100.0Case Processing Summary.LogisticRegression_Table_CaseProcessingSummary­€¯€±€€€( Statistics¯€±€æ7t€€(N¯€±€ç7t€€(PercentÂÆ­€¯€±€è7t€€€(Unweighted Cases¯€±€â7t€€(Selected Cases¯€±€é7t€€(Included in Analysis¯€±€ê7t€€( Missing Cases¯€±€8t€€(Total¯€±€ã7t€€(Unselected Cases¯€±€8t€€(TotalÔØÜàä÷€ù€€(OIf weight is in effect, see classification table for the total number of cases. totÍKü€½KK?ü€Ê…iK~K…€€(Case Processing Summary€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x•€¡Óÿÿ *Óÿÿ€€(Dependent Variable Encoding€ Logistic Regression €dddd € €€€€€€€(€0€€€€(€ð?1Dependent Variable Encoding2LogisticRegression_Table_DependentVariableEncoding­€¯€±€ 8t€€(Internal Value¯€±€ 8t€€(Internal Value­€¯€±€ 8t€€(Original Value¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month&*Kü€aaü€!w}}€€(Dependent Variable Encoding€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x #€€(Block 0: Beginning Block€J(ÓÿÿñÒÿÿ€€(Title€NLogistic Regressioníÿÿÿ¼"ArialalPº{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 0: Beginning Block\par } €ÏÒÿÿeÃÑÿÿ€€(Classification Table€ RLogistic Regression €dddd € €€€€€€€€(€0€€€(€0|@451€€€(€.0€€€€(€0€€€(€È‚@601€€€(€Y@100.0€€€€(€ž2Ô*ŒL@57.1Classification Table,LogisticRegression_Table_ClassificationTable­€¯€±€à7t€€( Predicted¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€ä7t€€(Percentage Correct}…­€¯€±€á7t€€(Observed¯€±€ÿÿÿÿ€€(SEXFREQ 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Èhh((óÿÿÿ"Arial(cont.)$H$xÏ€+Ñÿÿ#RÐÿÿ€€(Variables not in the Equation€ - Logistic Regression €dddd € €€€€€€€(€ÀjaȰÞa@142.959€€€(€ð?1€€€(€p¥|Û'?9.000€€€€(€K¬.ݯU@86.736€€€(€ð?1€€€(€ÆF†ßHÍ;.000€€€€(€·g¬µ´óõ?1.372€€€(€ð?1€€€(€tz .sèÎ?.241€€€€(€[;9àÈ@3.098€€€(€ð?1€€€(€êêS²´?.078€€€€(€x)íFƒ‰+@13.769€€€(€ð?1€€€(€Ìß‘ãæ+?.000€€€€(€ê%Â9È8@24.783€€€(€ð?1€€€(€ÁžžW!†¥>.000€€€€(€¡Aâçí×c@158.748€€€(€ð?1€€€(€À^DP—†8.000€€€€(€·+üÜŠq@280.679€€€(€@7€€€(€.000Variables not in the Equation2LogisticRegression_Table_VariablesnotintheEquation­€¯€±€€€( Statistics¯€±€ó7t€€(Score¯€±€ô7t€€(df¯€±€õ7t€€(Sig.‹ “ ­€¯€±€€€(Varname¯€±€€€(Step 0¯€±€ö7t€€( Variables¯€±€ÿÿÿÿ€€(age¯€±€ÿÿÿÿ€€(Married¯€±€ÿÿÿÿ€€(White¯€±€ÿÿÿÿ€€(attend¯€±€ÿÿÿÿ€€(happy¯€±€ÿÿÿÿ€€(Male¯€±€ÿÿÿÿ€€( agesquare¯€±€÷7t€€(Overall Statistics¤ ¨ ¬ ° ´ ¸ ¼ À Kü€† KKK4ü€— KKKKKKRrr€€(Variables not in the Equation€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x1 #€€(Block 1: Method = Enter€à (0ÐÿÿÐÿÿ€€(Title€ä Logistic Regressioníÿÿÿ¼"ArialalP¹{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 1: Method = Enter\par } €÷Ïÿÿ‚}Ïÿÿ€€(#Omnibus Tests of Model Coefficients€ è Logistic Regression €dddd € €€€€€€€€(€ÃšÒNt@324.926€€€(€@7€€€(€.000€€€€(€ÄšÒNt@324.926€€€(€@7€€€(€.000€€€€(€ÄšÒNt@324.926€€€(€@7€€€(€ l ï·8S2.000#Omnibus Tests of Model Coefficients8LogisticRegression_Table_OmnibusTestsofModelCoefficients­€¯€±€€€( Statistics¯€±€ý7t€€( Chi-square¯€±€ô7t€€(df¯€±€õ7t€€(Sig.!!!­€¯€±€þ7t€€(Model¯€±€8t€€(Step¯€±€8t€€(Block¯€±€þ7t€€(Model&!*!.!­€¯€±€8t€€(Step¯€±€€€(Step 17!Kü€!TKKTü€!!KKK5ü€2!K7€€(#Omnibus Tests of Model Coefficients€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xì €[ÏÿÿœÑÎÿÿ€€( Model Summary€ X!Logistic Regression €dddd € €€€€€€€€(€ÓD7ú_‘@1111.994€€€(€Ïâ„1Ñ?.266€€€(€´DÛ›çÔÖ?.357 Model Summary%LogisticRegression_Table_ModelSummary­€¯€±€€€( Statistics¯€±€8t€€(-2 Log likelihood¯€±€8t€€(Cox & Snell R Square¯€±€8t€€(Nagelkerke R Squareq!u!y!­€¯€±€8t€€(Step¯€±€ÿÿÿÿ€€(€ð?1‚!÷€ù€€(bEstimation terminated at iteration number 5 because parameter estimates changed by less than .001.lessc!Kü€l!PU^^ü€}!K2€€€( Model Summary€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x\!€¯Îÿÿe¹Íÿÿ€€(Classification Table€ ¥!Logistic Regression €dddd € €€€€€€€€(€ p@258€€€(€ h@193€€€(€šP¦ ešL@57.2€€€€(€ÀW@95€€€(€ @506€€€(€'-†MZ U@84.2€€€€(€æL‡£è'R@72.6Classification Table,LogisticRegression_Table_ClassificationTable­€¯€±€à7t€€( Predicted¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€ä7t€€(Percentage CorrectÐ!Ô!Ø!­€¯€±€á7t€€(Observed¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€å7t€€(Overall Percentageå!é!í!­€¯€±€8t€€(Step¯€±€€€(Step 1ö!÷€ù€€(The cut value is .500€€€(Classification TableKü€Ç!SS^^ü€Ü!w}ü€ñ!K7ý!€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x©!€—Íÿÿr¨Ìÿÿ€€(Variables in the Equation€ "Logistic Regression €dddd € €€€€€€€(€^>+`«¢?.036€€€(€¨ØÄÓ¦›?.027€€€(€ØÊô“›,ý?1.823€€€(€ð?1€€€(€(ÿzþ¤Æ?.177€€€(€<ÀÔ¦˜ð?1.037€€€€(€  ®Ã×ú?1.625€€€(€a¾ðQsõÅ?.172€€€(€ȯbÎoV@89.747€€€(€ð?1€€€(€ú§pø©;.000€€€(€ó™3 _Q@5.079€€€€(€ô|›?‚Òÿ-.155€€€(€hho-{ÉÆ?.178€€€(€<ž¦7è?.757€€€(€ð?1€€€(€ä·$HT™Ø?.384€€€(€xÇ”-¹hë?.857€€€€(€NÓÝ$ŒI­¿-.057€€€(€(Üî©8‰?.029€€€(€Ý10œv@3.933€€€(€ð?1€€€(€µ 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Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x"#€€(Logistic Regression€"#Logistic Regression(†ÌÿÿoÌÿÿ€€(Title€&#Logistic Regressioníÿÿÿ¼"ArialalPµ{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Logistic Regression\par } -ý”þÿÿ€€(Notes€*#Logistic Regression €dddd € €€€ €€€€㥠TæB25-MAY-2006 12:24:01€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(2User-defined missing values are treated as missing€€€(ŠLOGISTIC REGRESSION freqdum /METHOD = ENTER age White attend happy Male Married /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) . €€€ €ð§ÆK7‰á? 0:00:00.55NotesLogisticRegression_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€t€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of 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ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x­#€eËÿÿ îÊÿÿ€€(Dependent Variable Encoding€ $Logistic Regression €dddd € €€€€€€€(€0€€€€(€ð?1Dependent Variable Encoding2LogisticRegression_Table_DependentVariableEncoding­€¯€±€ 8t€€(Internal Value¯€±€ 8t€€(Internal Value5$­€¯€±€ 8t€€(Original Value¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month>$B$Kü€0$aaü€9$w}}€€(Dependent Variable Encoding€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x#$#€€(Block 0: Beginning Block€b$(ÌÊÿÿµÊÿÿ€€(Title€f$Logistic Regressioníÿÿÿ¼"ArialalPº{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 0: Beginning Block\par } €“Êÿÿe‡Éÿÿ€€(Classification Table€ j$Logistic Regression €dddd € €€€€€€€€(€0€€€(€0|@451€€€(€.0€€€€(€0€€€(€È‚@601€€€(€Y@100.0€€€€(€ž2Ô*ŒL@57.1Classification Table,LogisticRegression_Table_ClassificationTable­€¯€±€à7t€€( Predicted¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€ä7t€€(Percentage Correct•$™$$­€¯€±€á7t€€(Observed¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€å7t€€(Overall Percentageª$®$²$­€¯€±€8t€€(Step¯€±€€€(Step 0»$÷€ù€€("Constant is included in the model.`€€€(Classification Table÷€ù€€(The cut value is .500Â$Kü€Œ$SS^^ü€¡$w}ü€¶$K7Â$€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xn$€eÉÿÿlÉÿÿ€€(Variables in the Equation€ ã$Logistic Regression €dddd € €€€€€€€(€gœkL`Ò?.287€€€(€!é{Á­å¯?.062€€€(€³îÏÒ=5@21.241€€€(€ð?1€€€(€S*0›ûÐ>.000€€€(€0å$UNRõ?1.333Variables in the Equation/LogisticRegression_Table_VariablesintheEquation­€¯€±€€€( Statistics¯€±€ë7t€€(B¯€±€ì7t€€(S.E.¯€±€í7t€€(Wald¯€±€ô7t€€(df¯€±€õ7t€€(Sig.¯€±€î7t€€(Exp(B)%% %%%%­€¯€±€û7t€€(Variable¯€±€€€(Step 0¯€±€ò7t€€(Constant%%Kü€ÿ$KKKKKK9ü€%KG€€(Variables in the Equation€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xç$€ïÈÿÿ#)Èÿÿ€€(Variables not in the Equation€ E%Logistic Regression €dddd € €€€€€€€(€ÀjaȰÞa@142.959€€€(€ð?1€€€(€p¥|Û'?9.000€€€€(€·g¬µ´óõ?1.372€€€(€ð?1€€€(€tz .sèÎ?.241€€€€(€[;9àÈ@3.098€€€(€ð?1€€€(€êêS²´?.078€€€€(€x)íFƒ‰+@13.769€€€(€ð?1€€€(€Ìß‘ãæ+?.000€€€€(€ê%Â9È8@24.783€€€(€ð?1€€€(€ÁžžW!†¥>.000€€€€(€K¬.ݯU@86.736€€€(€ð?1€€€(€ÆF†ßHÍ;.000€€€€(€„@°-áÿ‘ë?.862€€€€(€φÝZq®¿-.059€€€(€¸õ:}ÞO?.029€€€(€Cuñ B@4.315€€€(€ð?1€€€(€÷¥ÕX£?.038€€€(€2•û'î?.942€€€€(€fAq:®`Ô¿-.318€€€(€ =ÜËo¿?.123€€€(€ºHÂ>7ä@6.723€€€(€ð?1€€€(€AŠš«h~ƒ?.010€€€(€ HU"Fç?.727€€€€(€ÞÊZ½dÜ?.444€€€(€â“ÖòúÂ?.148€€€(€’ø­ %ç!@8.951€€€(€ð?1€€€(€â·ÕS¶f?.003€€€(€ÜWÕß"ïø?1.558€€€€(€· õP,û?1.698€€€(€VIGçhÅ?.167€€€(€˜&F$ÈY@103.127€€€(€ð?1€€€(€p`—Ùe;.000€€€(€ö‡âèÛ@5.465€€€€(€±e`@3.047€€€(€„?“LƒkØ?.382€€€(€$\.ãâO@63.773€€€(€ð?1€€€(€S@ (Ù<.000€€€(€E˪u³ 5@21.054Variables in the Equation/LogisticRegression_Table_VariablesintheEquation­€¯€±€€€( Statistics¯€±€ë7t€€(B¯€±€ì7t€€(S.E.¯€±€í7t€€(Wald¯€±€ô7t€€(df¯€±€õ7t€€(Sig.¯€±€î7t€€(Exp(B)¸'¼'À'Ä'È'Ì'­€¯€±€û7t€€(Variable¯€±€€€€(Step 1¯€±€ÿÿÿÿ€€(age¯€±€ÿÿÿÿ€€(White¯€±€ÿÿÿÿ€€(attend¯€±€ÿÿÿÿ€€(happy¯€±€ÿÿÿÿ€€(Male¯€±€ÿÿÿÿ€€(Married¯€±€ò7t€€(ConstantÚ'Þ'â'æ'ê'î'ò'÷€ù€€(HVariable(s) entered on step 1: age, White, attend, happy, Male, Married.!×'Kü€³'KKKKKK9ü€Ð'KKKKKKKG€€(Variables in the Equation€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x)'#€€(Logistic Regression€(Logistic Regression(pÄÿÿYÄÿÿ€€(Title€(Logistic Regressioníÿÿÿ¼"ArialalPµ{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Logistic Regression\par } -ý„þÿÿ€€(Notes€(Logistic Regression €dddd € €€€ €€€€%TæB25-MAY-2006 12:24:02€€€( €€€(ÿÿT:\CFDR\ANNOTATED OUTPUT\WEBSITE PAGES\DATA\gsssub.sav €€€(€€€(€€€(€€€(€š¥@2765€€€(2User-defined missing values are treated as missing€€€(—LOGISTIC REGRESSION freqdum /METHOD = ENTER age White attend happy Male Married Male*Married /CRITERIA = PIN(.05) POUT(.10) ITERATE(20) CUT(.5) . €€€ €X9´Èv¾¯? 0:00:00.06NotesLogisticRegression_Notes­€¯€±€€€(Contents¯€±€t€€(Output Created¯€±€t€€(Comments¯€±€t€€(Input¯€±€t€€(Data¯€±€t€€(Filter¯€±€ t€€(Weight¯€±€ t€€( Split File¯€±€ t€€(N of Rows in Working Data File¯€±€€€(Missing Value Handling¯€±€€€(Definition of Missing¯€±€t€€( Cases Used¯€±€ t€€(Syntax¯€±€t€€( Resources¯€±€ t€€( Elapsed Time I(M(U(Y(](a(e(m(q(u(}(  áü€D( iTKKKK}‡\Kc‡€€(Notes€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x!(€7ÄÿÿÅqÃÿÿ€€(Case Processing Summary€ œ(Logistic Regression €dddd € €€€€€€€(€p@1052€€€(€ v¡C@38.0€€€€(€Äš@1713€€€(€ô‰æ^ûùN@62.0€€€€(€š¥@2765€€€(€Y@100.0€€€€(€0€€€(€.0€€€€(€š¥@2765€€€(€Y@100.0Case Processing Summary.LogisticRegression_Table_CaseProcessingSummary­€¯€±€€€( Statistics¯€±€æ7t€€(N¯€±€ç7t€€(PercentÍ(Ñ(­€¯€±€è7t€€€(Unweighted Cases¯€±€â7t€€(Selected Cases¯€±€é7t€€(Included in Analysis¯€±€ê7t€€( Missing Cases¯€±€8t€€(Total¯€±€ã7t€€(Unselected Cases¯€±€8t€€(Totalß(ã(ç(ë(ï(÷€ù€€(OIf weight is in effect, see classification table for the total number of cases.t isØ(Kü€È(KK?ü€Õ(…iK~K…€€(Case Processing Summary€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x (€OÃÿÿ ØÂÿÿ€€(Dependent Variable Encoding€ )Logistic Regression €dddd € €€€€€€€(€0€€€€(€ð?1Dependent Variable Encoding2LogisticRegression_Table_DependentVariableEncoding­€¯€±€ 8t€€(Internal Value¯€±€ 8t€€(Internal Value()­€¯€±€ 8t€€(Original Value¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month1)5)Kü€#)aaü€,)w}}€€(Dependent Variable Encoding€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$x)#€€(Block 0: Beginning Block€U)(¶ÂÿÿŸÂÿÿ€€(Title€Y)Logistic Regressioníÿÿÿ¼"ArialalPº{\rtf1\ansi\ansicpg1252\deff0{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\lang1033\b\f0\fs28 Block 0: Beginning Block\par } €}ÂÿÿeqÁÿÿ€€(Classification Table€ ])Logistic Regression €dddd € €€€€€€€€(€0€€€(€0|@451€€€(€.0€€€€(€0€€€(€È‚@601€€€(€Y@100.0€€€€(€ž2Ô*ŒL@57.1Classification Table,LogisticRegression_Table_ClassificationTable­€¯€±€à7t€€( Predicted¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€ä7t€€(Percentage Correctˆ)Œ))­€¯€±€á7t€€(Observed¯€±€ÿÿÿÿ€€(SEXFREQ (Monthly+ =1)¯€±€ÿÿÿÿ€€(Less than of equal to 1/month¯€±€ÿÿÿÿ€€(More than 1/month¯€±€å7t€€(Overall Percentage)¡)¥)­€¯€±€8t€€(Step¯€±€€€(Step 0®)÷€ù€€("Constant is included in the model.€€€(Classification Table÷€ù€€(The cut value is .500@²º µ)Kü€)SS^^ü€”)w}ü€©)K7µ)€€(€€(6 ÿÿÿ Èx xóÿÿÿ¼"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èx óÿÿÿ"Arial ÿÿÿ Èhh((óÿÿÿ"Arial(cont.)$H$xa)€OÁÿÿlûÀÿÿ€€(Variables in the Equation€ Ö)Logistic Regression €dddd € €€€€€€€(€gœkL`Ò?.287€€€(€!é{Á­å¯?.062€€€(€³îÏÒ=5@21.241€€€(€ð?1€€€(€S*0›ûÐ>.000€€€(€0å$UNRõ?1.333Variables in the Equation/LogisticRegression_Table_VariablesintheEquation­€¯€±€€€( Statistics¯€±€ë7t€€(B¯€±€ì7t€€(S.E.¯€±€í7t€€(Wald¯€±€ô7t€€(df¯€±€õ7t€€(Sig.¯€±€î7t€€(Exp(B)÷)û)ÿ)** *­€¯€±€û7t€€(Variable¯€±€€€(Step 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