Logistic regression

Number of obs = 266

LR chi2(6) = 30.80

Prob > chi2 = 0.0000

Pseudo R2 = 0.0985

Log likelihood = -140.90484

Odds Ratio

Std. Err.

z

P > |z|

[95% Conf. Interval]

Q 11

1.871914

0.560703

2.09

0.036

1.040691

3.367055

Q 25

0.9850502

0.0056331

−2.63

0.008

0.9740712

0.9961528

Q 17

0.95293

0.0215055

−2.14

0.033

0.9116986

0.996026

Q 22 & 11

2.443402

0.8058512

2.71

0.007

1.280155

4.663663

Q 22 & 12

4.019569

4.818084

1.16

0.246

0.3836021

42.11899

Q 22 & 13

0.0797545

0.0958384

−2.10

0.035

0.0075665

0.8406524