Logistic regression

Number of obs = 3299

LR chi2 (4) = 264.73

Prob > chi2 = 0.000

Log likelihood = -1136.85

Pseudo R2 = 0.1043

E_insurance

Coef.

Std.Err.

z

P>z

[95% Conf.Interval]

edu

0.6343611

0.0641256

9.89

0.000

0.5086772

0.760045

job

0.4392042

0.1173416

3.74

0.000

0.2092188

0.6691896

car

0.6373262

0.1152562

5.53

0.000

−0.8632242

−0.4114281

region

0.2648571

0.1166416

2.27

0.023

0.0362438

0.4934705

_cons

2.410228

0.264117

9.13

0.000

−2.927887

−1.892568