1. Masukkan datanya
2. Advanced Linier/Non Linier Model >
Generalized Linier/Non linier Model > Logit Model
3. Klik variable > Ok
4. Pada dependen variable : pilih y(3)
Pada categ(factor) : plih T (2)
Pada continuous predictor: pilih D (1); klik Ok
Klik summary:
Y - Statistics of goodness of fit (Spreadsheet2) Distribution : BINOMIAL Link function: LOGIT|
Df |
Stat. |
Stat/Df |
|
|
Deviance
|
32
|
30.1379
|
0.941811
|
|
Scaled Deviance |
32
|
30.1379
|
0.941811
|
|
Pearson Chi² |
32
|
36.9554
|
1.154856
|
|
Scaled P. Chi² |
32
|
36.9554
|
1.154856
|
|
Loglikelihood |
-15.0690
|
Klik summary all effects
Y - Test of all effects (Spreadsheet2) Distribution : BINOMIAL Link function: LOGIT
|
Degr. of |
Wald |
p |
|
|
Intercept |
1
|
4.345172
|
0.037114
|
|
D |
1
|
6.761137
|
0.009316
|
|
T |
1
|
3.231377
|
0.072240
|
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