аЯрЁБс>ўџ ўџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџRoot Entryџџџџџџџџ0‘@HюХI@Contentsџџџџџџџџџџџџ0“1Embedding 1џџџџрŠbўфЭƒРёrH@€7HюХ0‘@HюХOle џџџџџџџџџџџџ§џџџџџџџџџџџўџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџўџџџџџџџ!"#$%&'()*+,-.ўџџџўџџџ123456789:;<=>?@ABCDEFGHўџџџ/џџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџRoot Entryџџџџџџџџ€ƒ7HюХ@Contentsџџџџџџџџ“1Embedding 1џџџџџџџџрŠbўфЭƒРёrH@€7HюХ€ƒ7HюХOle џџџџџџџџџџџџџџџџџџџџ§џџџўџџџ ўџџџўџџџ/!"#$%&'()*+,-.ўџџџўџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџContentsџџџџ nOlePres000џџџџџџџџџџџџіџџџџџџџџџџџџџџџџџџџџџџџџSPSS Output DocumentџџNavTextŸџџџГЯїџџџџ DspSimpleTextџџ DspString( Text OutputџџNavTreeViewItemџџ NavOleItemLogistic Regressionѓџџџ"Courier Newr NewP7{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\f0\fs20 \par \par \par \par Total number of cases: 3450 (Unweighted) \par Number of selected cases: 3450 \par Number of unselected cases: 0 \par \par Number of selected cases: 3450 \par Number rejected because of missing data: 465 \par Number of cases included in the analysis: 2985 \par \par \par \par Dependent Variable Encoding: \par \par Original Internal \par Value Value \par .00 0 \par 1.00 1 \par \par \par \par \par Parameter \par Value Freq Coding \par (1) (2) (3) (4) \par AFINIDAD \par PRI 1.00 261 1.000 .000 .000 .000 \par PRD 2.00 77 .000 1.000 .000 .000 \par PAN 3.00 80 .000 .000 1.000 .000 \par OTRO 96.00 50 .000 .000 .000 1.000 \par 99.00 2517 .000 .000 .000 .000 \par PROGRAMA \par OPORTUNIDADES 1 1188 .000 .000 .000 \par LICONSA 2 1194 1.000 .000 .000 \par PAAL 3 444 .000 1.000 .000 \par PAAM 4 159 .000 .000 1.000 \par REDAD \par DE 16 A 25 A\'d1OS 1.00 269 1.000 .000 .000 \par DE 26 A 39 A\'d1OS 2.00 1252 .000 1.000 .000 \par DE 40 A 59 A\'d1OS 3.00 806 .000 .000 1.000 \par DE 60 Y M\'c1S A\'d1OS 4.00 658 .000 .000 .000 \par ESTADO \par ESTADO DE M\'c9XICO 15 796 1.000 .000 .000 \par NAYARIT 18 789 .000 1.000 .000 \par TLAXCALA 29 606 .000 .000 1.000 \par VERACRUZ 30 794 .000 .000 .000 \par P23 \par SI 1 2546 1.000 .000 \par NO 2 433 .000 1.000 \par NO SABE 8 6 .000 .000 \par P3713 \par SI 1 1480 1.000 \par NO 2 1505 .000 \par TIPO \par URBANA 1.00 1504 1.000 \par RURAL 2.00 1481 .000 \par P461 \par SI 1 132 1.000 \par NO 2 2853 .000 \par P04$01 \par SI 1 129 1.000 \par NO 2 2856 .000 \par P04$02 \par SI 1 117 1.000 \par NO 2 2868 .000 \par P04$09 \par SI 1 35 1.000 \par NO 2 2950 .000 \par P05$1 \par SI 1 540 1.000 \par NO 2 2445 .000 \par P05$2 \par SI 1 830 1.000 \par NO 2 2155 .000 \par \par \par \par \par Parameter \par Value Freq Coding \par (1) \par P05$4 \par SI 1 228 1.000 \par NO 2 2757 .000 \par P11$01 \par SI 1 45 1.000 \par NO 2 2940 .000 \par P3711 \par SI 1 225 1.000 \par NO 2 2760 .000 \par P11$13 \par SI 1 19 1.000 \par NO 2 2966 .000 \par P11$08 \par SI 1 104 1.000 \par NO 2 2881 .000 \par P11$07 \par SI 1 2 1.000 \par NO 2 2983 .000 \par P3714 \par SI 1 702 1.000 \par NO 2 2283 .000 \par P11$04 \par SI 1 16 1.000 \par NO 2 2969 .000 \par P11$03 \par SI 1 40 1.000 \par NO 2 2945 .000 \par \par \par \par \par Dependent Variable.. INDIP46 \par \par Beginning Block Number 0. Initial Log Likelihood Function \par \par -2 Log Likelihood 835.12362 \par \par * Constant is included in the model. \par \par \par Beginning Block Number 1. Method: Forward Stepwise (COND) \par \par \par Improv. Model Correct \par Step Chi-Sq. df sig Chi-Sq. df sig Class % Variable \par 1 28.954 1 .000 28.954 1 .000 93.63 IN: P461 \par 2 14.230 1 .000 43.183 2 .000 93.37 IN: P11$04 \par 3 16.600 1 .000 59.783 3 .000 93.37 IN: P3714 \par 4 15.955 3 .001 75.739 6 .000 93.00 IN: PROGRAMA \par 5 7.259 1 .007 82.997 7 .000 89.92 IN: P05$1 \par \par No more variables can be deleted or added. \par \par \par End Block Number 1 PIN = .0500 Limits reached. \par \par Final Equation for Block 1 \par \par Estimation terminated at iteration number 6 because \par Log Likelihood decreased by less than .01 percent. \par \par -2 Log Likelihood 752.126 \par Goodness of Fit 2824.072 \par Cox & Snell - R^2 .027 \par Nagelkerke - R^2 .112 \par \par Chi-Square df Significance \par \par Model 82.997 7 .0000 \par Block 82.997 7 .0000 \par Step 7.259 1 .0071 \par \par Classification Table for INDIP46 \par The Cut Value is .05 \par Predicted \par .00 1.00 Percent Correct \par 0 I 1 \par Observed +-------+-------+ \par .00 0 I 2653 I 238 I 91.77% \par +-------+-------+ \par 1.00 1 I 63 I 31 I 32.98% \par +-------+-------+ \par Overall 89.92% \par \par \par \par \par \par ------------------------ Variables in the Equation ------------------------ \par \par Variable B S.E. Wald df Sig R Exp(B) \par \par PROGRAMA 15.1967 3 .0017 .1049 \par PROGRAMA(1) .1619 .2801 .3341 1 .5632 .0000 1.1758 \par PROGRAMA(2) -1.3502 .6112 4.8805 1 .0272 -.0587 .2592 \par PROGRAMA(3) .9946 .3558 7.8158 1 .0052 .0835 2.7037 \par P05$1(1) .6784 .2414 7.9006 1 .0049 .0841 1.9708 \par P11$04(1) 2.2343 .6159 13.1591 1 .0003 .1156 9.3402 \par P3714(1) .7904 .2540 9.6834 1 .0019 .0959 2.2044 \par P461(1) 1.4967 .3014 24.6658 1 .0000 .1647 4.4667 \par Constant -4.0903 .2112 374.9807 1 .0000 \par \pard\cf0\fs20 \par } иџџџоџџџиџџџ((Y5ш4!ј*іііі№RA (Continued)Ѕ{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\f0\fs20 \par } Д{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\qr\cf1\f0\fs20 Page &[Page] \par } џџNavRoot€€(Output€ џџNavHead€џџIndexedCollection€(Logistic Regression€Logistic RegressionџџNavTitleиџџџСџџџ€€(Title€Logistic RegressionэџџџМ"ArialalPК{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\b\f0\fs29 Logistic Regression \par } џџNavNoteиџџџЏќџџ€€€(Notes€Logistic RegressionџџPTPivotControllerddddџџ PVPivotViewџџ PMPivotModelџџNDimensional__DspCell€ џџDspCell€€(20 Nov 05 21:03:06+€€€( +€€€(џџC:\base Global final Entrevistados beneficiarios de mas de un programa Federal.sav +€€€( FILTER_$ programa ~= 9 (FILTER)+€€€(+€€€(+€€џџ DspNumber(€єЊ@3450+€€€(џLOGISTIC REGRESSION VAR=indip46 /METHOD=FSTEP(COND) afinidad programa redad p04$01 p04$02 p04$09 p05$1 p05$2 p05$4 p11$01 p11$03 p11$04 p11$07 p11$08 p11$13 p23 p3711 p3713 p3714 p461 tipo estado /CONTRAST (afinidad)=Indicator /CONTRAST (programa)=Indicator (1) /CONTRAST (redad)=Indicator /CONTRAST (p04$01)=Indicator /CONTRAST (p04$02)=Indicator /CONTRAST (p04$09)=Indicator /CONTRAST (p05$1)=Indicator/CONTRAST (p05$2)=Indicator /CONTRAST (p05$4)=Indicator /CONTRAST (p11$01)=Indicator /CONTRAST (p11$03)=Indicator /CONTRAST (p11$04)=Indicator /CONTRAST (p11$07)=Indicator /CONTRAST (p11$08)=Indicator /CONTRAST (p11$13)=Indicator /CONTRAST (p23)=Indicator /CONTRAST (p3711)=Indicator /CONTRAST (P3713)=Indicator /CONTRAST (p3714)=Indicator /CONTRAST (p461)=Indicator /CONTRAST (tipo)=Indicator /CONTRAST (estado)=Indicator /PRINT=SUMMARY /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.05) . +€€@€ €њ~jМt“@ 0:00:02.07NotesLogisticRegression_NotesџџPMPivotItemTreeџџAbstractTreeBranchџџPMModelItemInfot€€(ContentsJ€L€t€€(Output CreatedJ€L€t€€(CommentsJ€L€t€€(InputJ€L€t€€(DataJ€L€t€€(FilterJ€L€ t€€(WeightJ€L€ t€€( Split FileJ€L€ t€€(N of Rows in Working Data FileJ€L€ t€€(Missing Value HandlingJ€L€ t€€(Definition of MissingJ€L€t€€( Cases UsedJ€L€ t€€(SyntaxJ€L€t€€( ResourcesJ€L€ t€€( Elapsed TimeJ€L€t€€( ResourcesJ€L€ t€€( Elapsed Time PT\`dhltx|„Œ  сџџPVViewDimensionI iTKKKKЇ‡\KccЇ€€(Notes€€(€€(џџ PTTableLook6џџPVSeparatorStyleš€џџ PVCellStyleџџџџџ PVTextStyleШx xѓџџџМ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шhh((ѓџџџ"Arial(cont.)$<$xџџPVPrintManager# џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шhh((ѓџўџџџўџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџџ%BЇД кћѓџ"Courier NewАђиŸёwсŸёw ѓwU fє-- ff$ I  ff€?'џџ ц$ I  –€?џџџ 2 €?.ћŸў@"Courier NewимиŸёwсŸёw ѓwU fє- 2 'џџћМ"SystemU fє &ŠџџџџDѓ-NANIџџџџџџџџџџѓџџџ"Courier Newr NewP!{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\f0\fs20 \par \par \par \par Total number of cases: 3450 (Unweighted) \par Number of selected cases: 3450 \par Number of unselected cases: 0 \par \par Number of selected cases: 3450 \par Number rejected because of missing data: 465 \par Number of cases included in the analysis: 2985 \par \par \par \par Dependent Variable Encoding: \par \par Original Internal \par Value Value \par .00 0 \par 1.00 1 \par \par \par \par \par Parameter \par Value Freq Coding \par (1) (2) (3) (4) \par AFINIDAD \par PRI 1.00 261 1.000 .000 .000 .000 \par PRD 2.00 77 .000 1.000 .000 .000 \par PAN 3.00 80 .000 .000 1.000 .000 \par OTRO 96.00 50 .000 .000 .000 1.000 \par 99.00 2517 .000 .000 .000 .000 \par PROGRAMA \par OPORTUNIDADES 1 1188 .000 .000 .000 \par LICONSA 2 1194 1.000 .000 .000 \par PAAL 3 444 .000 1.000 .000 \par PAAM 4 159 .000 .000 1.000 \par REDAD \par DE 16 A 25 A\'d1OS 1.00 269 1.000 .000 .000 \par DE 26 A 39 A\'d1OS 2.00 1252 .000 1.000 .000 \par DE 40 A 59 A\'d1OS 3.00 806 .000 .000 1.000 \par DE 60 Y M\'c1S A\'d1OS 4.00 658 .000 .000 .000 \par ESTADO \par ESTADO DE M\'c9XICO 15 796 1.000 .000 .000 \par NAYARIT 18 789 .000 1.000 .000 \par TLAXCALA 29 606 .000 .000 1.000 \par VERACRUZ 30 794 .000 .000 .000 \par P23 \par SI 1 2546 1.000 .000 \par NO 2 433 .000 1.000 \par NO SABE 8 6 .000 .000 \par P3713 \par SI 1 1480 1.000 \par NO 2 1505 .000 \par TIPO \par URBANA 1.00 1504 1.000 \par RURAL 2.00 1481 .000 \par P461 \par SI 1 132 1.000 \par NO 2 2853 .000 \par P04$01 \par SI 1 129 1.000 \par NO 2 2856 .000 \par P04$02 \par SI 1 117 1.000 \par NO 2 2868 .000 \par P04$09 \par SI 1 35 1.000 \par NO 2 2950 .000 \par P05$1 \par SI 1 540 1.000 \par NO 2 2445 .000 \par P05$2 \par SI 1 830 1.000 \par NO 2 2155 .000 \par \par \par \par \par Parameter \par Value Freq Coding \par (1) \par P05$4 \par SI 1 228 1.000 \par NO 2 2757 .000 \par P11$01 \par SI 1 45 1.000 \par NO 2 2940 .000 \par P3711 \par SI 1 225 1.000 \par NO 2 2760 .000 \par P11$13 \par SI 1 19 1.000 \par NO 2 2966 .000 \par P11$08 \par SI 1 104 1.000 \par NO 2 2881 .000 \par P11$07 \par SI 1 2 1.000 \par NO 2 2983 .000 \par P3714 \par SI 1 702 1.000 \par NO 2 2283 .000 \par P11$04 \par SI 1 16 1.000 \par NO 2 2969 .000 \par P11$03 \par SI 1 40 1.000 \par NO 2 2945 .000 \par \par \par \par \par Dependent Variable.. INDIP46 \par \par Beginning Block Number 0. Initial Log Likelihood Function \par \par -2 Log Likelihood 835.12362 \par \par * Constant is included in the model. \par \par \par Beginning Block Number 1. Method: Forward Stepwise (COND) \par \par \par Improv. Model Correct \par Step Chi-Sq. df sig Chi-Sq. df sig Class % Variable \par 1 28.954 1 .000 28.954 1 .000 93.63 IN: P461 \par 2 14.230 1 .000 43.183 2 .000 93.37 IN: P11$04 \par 3 16.600 1 .000 59.783 3 .000 93.37 IN: P3714 \par 4 15.955 3 .001 75.739 6 .000 93.00 IN: PROGRAMA \par 5 7.259 1 .007 82.997 7 .000 89.92 IN: P05$1 \par \par No more variables can be deleted or added. \par \par \par End Block Number 1 PIN = .0500 Limits reached. \par \par Final Equation for Block 1 \par \par Estimation terminated at iteration number 6 because \par Log Likelihood decreased by less than .01 percent. \par \par -2 Log Likelihood 752.126 \par Goodness of Fit 2824.072 \par Cox & Snell - R^2 .027 \par Nagelkerke - R^2 .112 \par \par Chi-Square df Significance \par \par Model 82.997 7 .0000 \par Block 82.997 7 .0000 \par Step 7.259 1 .0071 \par \par Classification Table for INDIP46 \par The Cut Value is .05 \par Predicted \par .00 1.00 Percent Correct \par 0 I 1 \par Observed +-------+-------+ \par .00 0 I 2653 I 238 I 91.77% \par +-------+-------+ \par 1.00 1 I 63 I 31 I 32.98% \par +-------+-------+ \par Overall 89.92% \par \par \par \par \par \par ------------------------ Variables in the Equation ------------------------ \par \par Variable B S.E. Wald df Sig R Exp(B) \par \par PROGRAMA 15.1967 3 .0017 .1049 \par PROGRAMA(1) .1619 .2801 .3341 1 .5632 .0000 1.1758 \par PROGRAMA(2) -1.3502 .6112 4.8805 1 .0272 -.0587 .2592 \par PROGRAMA(3) .9946 .3558 7.8158 1 .0052 .0835 2.7037 \par P05$1(1) .6784 .2414 7.9006 1 .0049 .0841 1.9708 \par P11$04(1) 2.2343 .6159 13.1591 1 .0003 .1156 9.3402 \par P3714(1) .7904 .2540 9.6834 1 .0019 .0959 2.2044 \par P461(1) 1.4967 .3014 24.6658 1 .0000 .1647 4.4667 \par Constant -4.0903 .2112 374.9807 1 .0000 \par } 15.3677 3 .0015 .1059 \par PROGRAMA(1) .1199 .2816 .1813 1 .6702 .0000 1.1274 \par PROGRAMA(2) -1.3504 .6111 4.8831 1 .0271 -.0588 .2591 \par PROGRAMA(3) .9955 .3548 7.8715 1 .0050 .0838 2.7062 \par P05$1(1) .6634 .2416 7.5373 1 .0060 .0814 1.9414 \par P11$04(1) 1.835 1 .0065 .0804 6.2797 \par P11$06(1) 1.0607 .5479 3.7475 1 .0529 .0457 2.8885 \par P3714(1) .7958 .2547 9.7593 1 .0018 .0964 2.2161 \par P461(1) 1.5001 .3018 24.7125 1 .0000 .1649 4.4821 \par Constant -4.0929 .2112 375.5860 1 .0000 \par } .0248 .0603 16.6642 \par P3714(1) .8148 .2557 10.1534 1 .0014 .0988 2.2588 \par P461(1) 1.519SPSS Output DocumentџџNavTextŸџџџГЯїџџџџ DspSimpleTextџџ DspString( Text OutputџџNavTreeViewItemџџ NavOleItemLogistic Regressionѓџџџ"Courier Newr NewP7{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Courier New;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\f0\fs20 \par \par \par \par Total number of cases: 3450 (Unweighted) \par Number of selected cases: 3450 \par Number of unselected cases: 0 \par \par Number of selected cases: 3450 \par Number rejected because of missing data: 465 \par Number of cases included in the analysis: 2985 \par \par \par \par Dependent Variable Encoding: \par \par Original Internal \par Value Value \par .00 0 \par 1.00 1 \par \par \par \par \par Parameter \par Value Freq Coding \par (1) (2) (3) (4) \par AFINIDAD \par PRI 1.00 261 1.000 .000 .000 .000 \par PRD 2.00 77 .000 1.000 .000 .000 \par PAN 3.00 80 .000 .000 1.000 .000 \par OTRO 96.00 50 .000 .000 .000 1.000 \par 99.00 2517 .000 .000 .000 .000 \par PROGRAMA \par OPORTUNIDADES 1 1188 .000 .000 .000 \par LICONSA 2 1194 1.000 .000 .000 \par PAAL 3 444 .000 1.000 .000 \par PAAM 4 159 .000 .000 1.000 \par REDAD \par DE 16 A 25 A\'d1OS 1.00 269 1.000 .000 .000 \par DE 26 A 39 A\'d1OS 2.00 1252 .000 1.000 .000 \par DE 40 A 59 A\'d1OS 3.00 806 .000 .000 1.000 \par DE 60 Y M\'c1S A\'d1OS 4.00 658 .000 .000 .000 \par ESTADO \par ESTADO DE M\'c9XICO 15 796 1.000 .000 .000 \par NAYARIT 18 789 .000 1.000 .000 \par TLAXCALA 29 606 .000 .000 1.000 \par VERACRUZ 30 794 .000 .000 .000 \par P23 \par SI 1 2546 1.000 .000 \par NO 2 433 .000 1.000 \par NO SABE 8 6 .000 .000 \par P3713 \par SI 1 1480 1.000 \par NO 2 1505 .000 \par TIPO \par URBANA 1.00 1504 1.000 \par RURAL 2.00 1481 .000 \par P461 \par SI 1 132 1.000 \par NO 2 2853 .000 \par P04$01 \par SI 1 129 1.000 \par NO 2 2856 .000 \par P04$02 \par SI 1 117 1.000 \par NO 2 2868 .000 \par P04$09 \par SI 1 35 1.000 \par NO 2 2950 .000 \par P05$1 \par SI 1 540 1.000 \par NO 2 2445 .000 \par P05$2 \par SI 1 830 1.000 \par NO 2 2155 .000 \par \par \par \par \par Parameter \par Value Freq Coding \par (1) \par P05$4 \par SI 1 228 1.000 \par NO 2 2757 .000 \par P11$01 \par SI 1 45 1.000 \par NO 2 2940 .000 \par P3711 \par SI 1 225 1.000 \par NO 2 2760 .000 \par P11$13 \par SI 1 19 1.000 \par NO 2 2966 .000 \par P11$08 \par SI 1 104 1.000 \par NO 2 2881 .000 \par P11$07 \par SI 1 2 1.000 \par NO 2 2983 .000 \par P3714 \par SI 1 702 1.000 \par NO 2 2283 .000 \par P11$04 \par SI 1 16 1.000 \par NO 2 2969 .000 \par P11$03 \par SI 1 40 1.000 \par NO 2 2945 .000 \par \par \par \par \par Dependent Variable.. INDIP46 \par \par Beginning Block Number 0. Initial Log Likelihood Function \par \par -2 Log Likelihood 835.12362 \par \par * Constant is included in the model. \par \par \par Beginning Block Number 1. Method: Forward Stepwise (COND) \par \par \par Improv. Model Correct \par Step Chi-Sq. df sig Chi-Sq. df sig Class % Variable \par 1 28.954 1 .000 28.954 1 .000 93.63 IN: P461 \par 2 14.230 1 .000 43.183 2 .000 93.37 IN: P11$04 \par 3 16.600 1 .000 59.783 3 .000 93.37 IN: P3714 \par 4 15.955 3 .001 75.739 6 .000 93.00 IN: PROGRAMA \par 5 7.259 1 .007 82.997 7 .000 89.92 IN: P05$1 \par \par No more variables can be deleted or added. \par \par \par End Block Number 1 PIN = .0500 Limits reached. \par \par Final Equation for Block 1 \par \par Estimation terminated at iteration number 6 because \par Log Likelihood decreased by less than .01 percent. \par \par -2 Log Likelihood 752.126 \par Goodness of Fit 2824.072 \par Cox & Snell - R^2 .027 \par Nagelkerke - R^2 .112 \par \par Chi-Square df Significance \par \par Model 82.997 7 .0000 \par Block 82.997 7 .0000 \par Step 7.259 1 .0071 \par \par Classification Table for INDIP46 \par The Cut Value is .05 \par Predicted \par .00 1.00 Percent Correct \par 0 I 1 \par Observed +-------+-------+ \par .00 0 I 2653 I 238 I 91.77% \par +-------+-------+ \par 1.00 1 I 63 I 31 I 32.98% \par +-------+-------+ \par Overall 89.92% \par \par \par \par \par \par ------------------------ Variables in the Equation ------------------------ \par \par Variable B S.E. Wald df Sig R Exp(B) \par \par PROGRAMA 15.1967 3 .0017 .1049 \par PROGRAMA(1) .1619 .2801 .3341 1 .5632 .0000 1.1758 \par PROGRAMA(2) -1.3502 .6112 4.8805 1 .0272 -.0587 .2592 \par PROGRAMA(3) .9946 .3558 7.8158 1 .0052 .0835 2.7037 \par P05$1(1) .6784 .2414 7.9006 1 .0049 .0841 1.9708 \par P11$04(1) 2.2343 .6159 13.1591 1 .0003 .1156 9.3402 \par P3714(1) .7904 .2540 9.6834 1 .0019 .0959 2.2044 \par P461(1) 1.4967 .3014 24.6658 1 .0000 .1647 4.4667 \par Constant -4.0903 .2112 374.9807 1 .0000 \par \pard\cf0\fs20 \par } иџџџоџџџиџџџ((Y5ш4!ј*іііі№RA (Continued)Ѕ{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\f0\fs20 \par } Д{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\qr\cf1\f0\fs20 Page &[Page] \par } џџNavRoot€€(Output€ џџNavHead€џџIndexedCollection€(Logistic Regression€Logistic RegressionџџNavTitleиџџџСџџџ€€(Title€Logistic RegressionэџџџМ"ArialalPК{\rtf1\ansi\ansicpg1252\deff0\deflang2058{\fonttbl{\f0\fswiss\fprq2\fcharset0 Arial;}} {\colortbl ;\red0\green0\blue0;} \viewkind4\uc1\pard\cf1\b\f0\fs29 Logistic Regression \par } џџNavNoteиџџџЏќџџ€€€(Notes€Logistic RegressionџџPTPivotControllerddddџџ PVPivotViewџџ PMPivotModelџџNDimensional__DspCell€ џџDspCell€€(20 Nov 05 21:03:06+€€€( +€€€(џџC:\base Global final Entrevistados beneficiarios de mas de un programa Federal.sav +€€€( FILTER_$ programa ~= 9 (FILTER)+€€€(+€€€(+€€џџ DspNumber(€єЊ@3450+€€€(џLOGISTIC REGRESSION VAR=indip46 /METHOD=FSTEP(COND) afinidad programa redad p04$01 p04$02 p04$09 p05$1 p05$2 p05$4 p11$01 p11$03 p11$04 p11$07 p11$08 p11$13 p23 p3711 p3713 p3714 p461 tipo estado /CONTRAST (afinidad)=Indicator /CONTRAST (programa)=Indicator (1) /CONTRAST (redad)=Indicator /CONTRAST (p04$01)=Indicator /CONTRAST (p04$02)=Indicator /CONTRAST (p04$09)=Indicator /CONTRAST (p05$1)=Indicator/CONTRAST (p05$2)=Indicator /CONTRAST (p05$4)=Indicator /CONTRAST (p11$01)=Indicator /CONTRAST (p11$03)=Indicator /CONTRAST (p11$04)=Indicator /CONTRAST (p11$07)=Indicator /CONTRAST (p11$08)=Indicator /CONTRAST (p11$13)=Indicator /CONTRAST (p23)=Indicator /CONTRAST (p3711)=Indicator /CONTRAST (P3713)=Indicator /CONTRAST (p3714)=Indicator /CONTRAST (p461)=Indicator /CONTRAST (tipo)=Indicator /CONTRAST (estado)=Indicator /PRINT=SUMMARY /CRITERIA PIN(.05) POUT(.10) ITERATE(20) CUT(.05) . +€€@€ €њ~jМt“@ 0:00:02.07NotesLogisticRegression_NotesџџPMPivotItemTreeџџAbstractTreeBranchџџPMModelItemInfot€€(ContentsJ€L€t€€(Output CreatedJ€L€t€€(CommentsJ€L€t€€(InputJ€L€t€€(DataJ€L€t€€(FilterJ€L€ t€€(WeightJ€L€ t€€( Split FileJ€L€ t€€(N of Rows in Working Data FileJ€L€ t€€(Missing Value HandlingJ€L€ t€€(Definition of MissingJ€L€t€€( Cases UsedJ€L€ t€€(SyntaxJ€L€t€€( ResourcesJ€L€ t€€( Elapsed TimeJ€L€t€€( ResourcesJ€L€ t€€( Elapsed Time PT\`dhltx|„Œ  сџџPVViewDimensionI iTKKKKЇ‡\KccЇ€€(Notes€€(€€(џџ PTTableLook6џџPVSeparatorStyleš€џџ PVCellStyleџџџџџ PVTextStyleШx xѓџџџМ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шx ѓџџџ"Arial€џџџŸ€Шhh((ѓџџџ"Arial(cont.)$<$xџџPVPrintManager# џџџџџџџџ%BЇД кћѓџ"Courier NewАђиŸёwсŸёw ѓwl fё-- ff$ I  ff€?'џџ ц$ I  –€?џџџ 2 €?.ћŸў@"Courier NewимиŸёwсŸёw ѓwl fё- 2 'џџћМ"Systeml fё &ŠџџџџDѓ-NANIџџџџџџџџџџ