Logistic regression Number of obs = 212 LRchi2(20) = 130.607 | ||||||
−2Log likelihood = 388.418 | Prob > chi2 = 0.000 | Pseudo = 0.460 | ||||
Pre | Coef. | Std. Err. | Wald | P > |z| | [95% Conf. Interval] | |
Cont | 4.265 | 0.769 | 30.761 | 0.000 |
| |
F1 | 0.758 | 0.367 | 4.276 | 0.039 | 1.040 | 4.377 |
F2 | 1.619 | 0.510 | 10.057 | 0.002 | 1.856 | 13.727 |
F3 | 1.326 | 0.448 | 8.770 | 0.003 | 1.566 | 9.060 |
F4 | 0.104 | 0.427 | 0.059 | 0.808 | 0.480 | 2.561 |
F5 | 1.740 | 0.428 | 16.493 | 0.000 | 2.460 | 13.186 |