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

3.330

0.787

17.910

0.000

F1

1.829

0.429

18.200

0.000

6.229

2.688

F2

1.856

0.530

12.260

0.000

6.396

2.264

F3

2.313

0.505

20.949

0.000

10.102

3.752

F4

0.187

0.442

0.178

0.673

1.205

0.507

F5

1.933

0.442

19.174

0.000

6.913

2.910