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
|
download data model regresi logistik dalam m.excel
0 komentar:
Posting Komentar