EXERCÍCIO 14 – REGRESSÃO MÚLTIPLA E PATH ANALYSIS |
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OUTPUT 25 |
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Análise
da Regressão Múltipla e Correlações Parciais e Semiparciais |
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Comandos |
GET |
FILE='C:\Documents and Settings\user\Desktop\E14_DATA.sav'. |
REGRESSION |
/MISSING LISTWISE |
/STATISTICS COEFF OUTS R ANOVA ZPP |
/CRITERIA=PIN(.05) POUT(.10) |
/NOORIGIN |
/DEPENDENT salario |
/METHOD=ENTER anosdout publi. |
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Output |
Variables Entered/Removed(b) |
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Model |
Variables Entered |
Variables Removed |
Method |
1 |
PUBLI, ANOSDOUT(a) |
, |
Enter |
a All requested variables entered. |
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b Dependent Variable: SALARIO |
Model Summary |
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Model |
R |
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Adjusted |
Std. Error of the Estimate |
1 |
,6206(a) |
,3852 |
,2827 |
5344,6071 |
a Predictors: (Constant), PUBLI,
ANOSDOUT |
ANOVA(b) |
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Model |
Sum of Squares |
df |
Mean Square |
F |
Sig. |
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1 |
Regression |
214742423,7402 |
2 |
107371211,8701 |
3,7589 |
,0540(a) |
Residual |
342777901,5931 |
12 |
28564825,1328 |
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Total |
557520325,3333 |
14 |
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a Predictors: (Constant), PUBLI,
ANOSDOUT |
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b Dependent Variable: SALARIO |
Coefficients(a) |
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Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
Correlations |
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Model |
B |
Std. Error |
Beta |
Zero-order |
Partial |
Part |
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1 |
(Constant) |
20137,7690 |
2577,9874 |
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7,8114 |
,0000 |
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ANOSDOUT |
479,2049 |
260,7910 |
,5696 |
1,8375 |
,0910 |
,6184 |
,4686 |
,4159 |
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PUBLI |
87,8330 |
380,6970 |
,0715 |
,2307 |
,8214 |
,4606 |
,0665 |
,0522 |
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a Dependent Variable: SALARIO |
Comandos |
THE FOLLOWING LISREL CONTROL LINES
HAVE BEEN READ: |
E14_LISREL |
DA NI=5 NO=15 |
LA |
SALARIO ANOSDOUT PUBLI SEXO CITAT |
KM SY FI |
1.0000 |
.6184 1.0000 |
.4606 .6832 1.0000 |
-.2622 -.1540 .0486 1.0000 |
.5069 .4603 .2968 -.0062 1.0000 |
SE |
2 3 5 1 4 |
MO NY=4 NX=1 BE=FU PS=DI |
FR BE(2,1) BE(3,1) BE(4,1) BE(3,2) BE(4,2) BE(4,3) |
OU ALL ND=4 |
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Output |
[...] |
PARAMETER
SPECIFICATIONS |
BETA |
ANOSDOUT PUBLI CITAT
SALARIO |
======== ========
======== ======== |
ANOSDOUT 0 0 0 0 |
PUBLI
1 0 0 0 |
CITAT 2 3 0 0 |
SALARIO 4 5 6 0 |
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GAMMA |
SEXO |
======== |
ANOSDOUT 7 |
PUBLI 8 |
CITAT 9 |
SALARIO 10 |
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PSI |
ANOSDOUT PUBLI CITAT
SALARIO |
======== ========
======== ======== |
11 12 13 14 |
[...] |
LISREL ESTIMATES (MAXIMUM LIKELIHOOD) |
BETA |
ANOSDOUT PUBLI CITAT
SALARIO |
======== ========
======== ======== |
ANOSDOUT .0000 .0000 .0000 .0000 |
PUBLI
.7075 .0000 .0000 .0000 |
CITAT
.5092 -.0548 .0000 .0000 |
SALARIO
.3484 .1431 .3027 .0000 |
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GAMMA |
SEXO |
======== |
ANOSDOUT -.1540 |
PUBLI
.1575 |
CITAT
.0749 |
SALARIO
-.2136 |
[...] |
PSI |
ANOSDOUT PUBLI CITAT
SALARIO |
======== ========
======== ======== |
.9763 .5090 .7823 .5092 |
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SQUARED MULTIPLE CORRELATIONS FOR
STRUCTURAL EQUATIONS |
ANOSDOUT PUBLI CITAT
SALARIO |
======== ========
======== ======== |
.0237 .4910 .2177 .4908 |
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TOTAL
COEFFICIENT OF DETERMINATION FOR STRUCTURAL EQUATIONS IS .145 |
CHI-SQUARE WITH 0 DEGREES OF FREEDOM = 0.00(P = 1.00) |
GOODNESS OF FIT INDEX =
1.000 |
ROOT MEAN SQUARE RESIDUAL
= 0.000 |
[...] |
TOTAL AND
INDIRECT EFFECTS |
TOTAL EFFECTS OF X ON Y |
SEXO |
======== |
ANOSDOUT -.1540 |
PUBLI .0486 |
CITAT -.0062 |
SALARIO
-.2622 |
[...] |
INDIRECT EFFECTS OF X ON Y |
SEXO |
======== |
ANOSDOUT .0000 |
PUBLI -.1089 |
CITAT -.0811 |
SALARIO
-.0486 |
[...] |
TOTAL EFFECTS OF Y ON Y |
ANOSDOUT PUBLI CITAT
SALARIO |
======== ========
======== ======== |
ANOSDOUT .0000 .0000 -.0000 -.0000 |
PUBLI .7075 .0000 -.0000 -.0000 |
CITAT
.4705 -.0548 .0000
-.0000 |
SALARIO
.5921 .1266 .3027 .0000 |
[...] |
INDIRECT EFFECTS OF Y ON Y |
ANOSDOUT PUBLI CITAT
SALARIO |
======== ========
======== ======== |
ANOSDOUT .0000 .0000 -.0000 -.0000 |
PUBLI
.0000 .0000 -.0000 -.0000 |
CITAT
-.0387 .0000 .0000 -.0000 |
SALARIO
.2437 -.0166 .0000 .0000 |
[...] |
Última
actualização: 2012-09-17