Logistic regression

Number of obs = 432

LR chi2(8) = 15.13

Prob > chi2 = 0.0567

Log likelihood = −245.74589

Pseudo R2 = 0.0299

L_i

Odds Ratio

Std. Err.

z

P > |z|

[95% Conf. Interval]

X₃

1.859729

0.4679075

2.47

0.014

1.135762

3.0451723

X₁

1.209564

0.4095352

0.38

0.702

0.5694337

2.309132

X₂

0.95293

0.4403835

0.52

0.601

0.5925427

2.469097

X₄

.6243408

0.2109306

−1.39

0.163

0.3219937

1.210587

X₅

1.612622

0.5578401

1.38

0.167

0.8186229

3.176737

X₆

1.101025

0.4507991

0.24

0.814

0.4934971

2.456459

X₇

1.085757

0.3537507

0.25

0.801

0.5733273

2.056188

X₈

0.9856942

0.2931192

−0.05

0.961

0.5503228

1.765497