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