REGRESIÓN MULTIPLE
VARIABLE DEPENDIENTE (R6) = TOTAL DE INGRESOS POR TRABAJO
VARIABLES INDEPENDIENTES :
ESTA = ESTATAL
ASAL = ASALARIADO
INFOR = INFORMAL
CAMPE = CAMPESINO
INDEP = PROFESIONAL INDEPENDIENTE
HOGA = TRABAJADOR DEL HOGAR
PRIMA = PRIMARIA
SUPNOU = SUPERIOR NO UNIVERSITARIA
SUPUNI = SUPERIOR NO UNIVERSITARIA
JOVEN = 14 - 24 AÑOS
VIEJO = 60 A MAS AÑOS
MUJER = SEXO FEMENINO
REG: 1 URBANO
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. LNR6
Block Number 1. Method: Enter
ESTA INFOR CAMPE INDEP HOGA PRIM SUPNOU SUPUNI
JOVEN VIEJO MUJER
Variable(s) Entered on Step Number
1.. MUJER
2.. ESTA
3.. INDEP
4.. VIEJO
5.. CAMPE
6.. SUPNOU
7.. JOVEN
8.. HOGA
9.. PRIM
10.. SUPUNI
11.. INFOR
Multiple R .55228
R Square .30502
Adjusted R Square .30501
Standard Error .85384
Analysis of Variance
DF Sum of Squares Mean Square
Regression 11 2042901.38399 185718.30764
Residual 6384779 4654792.43088 .72905
F = 254741.83739 Signif F = .0000
REG: 1 URBANO
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. LNR6
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
ESTA -.130313 .001215 -.040034 -107.234 .0000
INFOR -.561096 8.0969E-04 -.273838 -692.974 .0000
CAMPE -1.842867 .002746 -.231583 -671.028 .0000
INDEP -.804374 .002776 -.099382 -289.736 .0000
HOGA .067768 .001782 .014118 38.038 .0000
PRIM -.286720 9.3595E-04 -.115004 -306.341 .0000
SUPNOU .162772 .001118 .052002 145.648 .0000
SUPUNI .498150 .001043 .183285 477.747 .0000
JOVEN -.468075 8.6014E-04 -.191357 -544.182 .0000
VIEJO -.281442 .001503 -.065014 -187.195 .0000
MUJER -.454475 7.1944E-04 -.218585 -631.709 .0000
(Constant) 6.802605 7.8551E-04 8660.096 .0000
End Block Number 1 All requested variables entered.
_
REG: 2 RURAL
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. LNR6
Block Number 1. Method: Enter
ESTA INFOR CAMPE INDEP HOGA PRIM SUPNOU SUPUNI
JOVEN VIEJO MUJER
Variable(s) Entered on Step Number
1.. MUJER
2.. INDEP
3.. VIEJO
4.. SUPUNI
5.. SUPNOU
6.. HOGA
7.. JOVEN
8.. INFOR
9.. PRIM
10.. ESTA
11.. CAMPE
Multiple R .52082
R Square .27125
Adjusted R Square .27125
Standard Error .97905
Analysis of Variance
DF Sum of Squares Mean Square
Regression 11 978877.84772 88988.89525
Residual 2743654 2629878.21284 .95853
F = 92838.79699 Signif F = .0000
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
ESTA .325092 .002846 .071890 114.217 .0000
INFOR -.249190 .001733 -.096824 -143.769 .0000
CAMPE -.734998 .001584 -.311939 -464.002 .0000
INDEP -1.054665 .018060 -.030222 -58.398 .0000
HOGA .426741 .004676 .049956 91.257 .0000
PRIM -.281755 .001431 -.118449 -196.937 .0000
SUPNOU .325001 .002935 .063971 110.729 .0000
SUPUNI .781545 .004346 .100012 179.830 .0000
JOVEN -.464236 .001681 -.153542 -276.127 .0000
VIEJO -.410355 .001774 -.126969 -231.259 .0000
MUJER -.679210 .001398 -.276393 -485.928 .0000
(Constant) 6.185291 .001614 3833.408 .0000
REG: 2 RURAL
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. LNR6
End Block Number 1 All requested variables entered.
_
REG: 1 URBANO
* * * * M U L T I P L E R E G R E S S I O N * * * *
Listwise Deletion of Missing Data
Equation Number 1 Dependent Variable.. LNR6
Block Number 1. Method: Enter
ASAL INFOR CAMPE INDEP HOGA PRIM SUPNOU SUPUNI
JOVEN VIEJO MUJER
Variable(s) Entered on Step Number
1.. MUJER
2.. INDEP
3.. JOVEN
4.. SUPNOU
5.. CAMPE
6.. VIEJO
7.. ASAL
8.. HOGA
9.. SUPUNI
10.. PRIM
11.. INFOR
Multiple R .55228
R Square .30502
Adjusted R Square .30501
Standard Error .85384
Analysis of Variance
DF Sum of Squares Mean Square
Regression 11 2042901.38399 185718.30764
Residual 6384779 4654792.43088 .72905
F = 254741.83739 Signif F = .0000
REG: 1 URBANO
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. LNR6
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
ASAL .130313 .001215 .059330 107.234 .0000
INFOR -.430784 .001221 -.210240 -352.682 .0000
CAMPE -1.712555 .002906 -.215208 -589.336 .0000
INDEP -.674062 .002868 -.083281 -235.044 .0000
HOGA .198080 .002025 .041266 97.804 .0000
PRIM -.286720 9.3595E-04 -.115004 -306.341 .0000
SUPNOU .162772 .001118 .052002 145.648 .0000
SUPUNI .498150 .001043 .183285 477.747 .0000
JOVEN -.468075 8.6014E-04 -.191357 -544.182 .0000
VIEJO -.281442 .001503 -.065014 -187.195 .0000
MUJER -.454475 7.1944E-04 -.218585 -631.709 .0000
(Constant) 6.672293 .001221 5464.255 .0000
End Block Number 1 All requested variables entered.
_
REG: 2 RURAL
* * * * M U L T I P L E R E G R E S S I O N * * * *
Equation Number 1 Dependent Variable.. LNR6
Block Number 1. Method: Enter
ASAL INFOR CAMPE INDEP HOGA PRIM SUPNOU SUPUNI
JOVEN VIEJO MUJER
Variable(s) Entered on Step Number
1.. MUJER
2.. INDEP
3.. VIEJO
4.. SUPUNI
5.. SUPNOU
6.. HOGA
7.. ASAL
8.. JOVEN
9.. PRIM
10.. INFOR
11.. CAMPE
Multiple R .52082
R Square .27125
Adjusted R Square .27125
Standard Error .97905
Analysis of Variance
DF Sum of Squares Mean Square
Regression 11 978877.84772 88988.89525
Residual 2743654 2629878.21284 .95853
F = 92838.79699 Signif F = .0000
------------------ Variables in the Equation ------------------
Variable B SE B Beta T Sig T
ASAL -.325092 .002846 -.123166 -114.217 .0000
INFOR -.574282 .002833 -.223141 -202.697 .0000
CAMPE -1.060090 .002839 -.449911 -373.409 .0000
INDEP -1.379757 .018130 -.039538 -76.104 .0000
HOGA .101649 .005201 .011899 19.545 .0000
PRIM -.281755 .001431 -.118449 -196.937 .0000
SUPNOU .325001 .002935 .063971 110.729 .0000
SUPUNI .781545 .004346 .100012 179.830 .0000
JOVEN -.464236 .001681 -.153542 -276.127 .0000
VIEJO -.410355 .001774 -.126969 -231.259 .0000
MUJER -.679210 .001398 -.276393 -485.928 .0000
(Constant) 6.510383 .002715 2398.124 .0000
