Logistic regression | Number of obs = 432 | |||||
LR chi2(8) = 15.13 | ||||||
Prob > chi2 = 0.0567 | ||||||
Log likelihood = −245.74589 | ||||||
Pseudo R2 = 0.0299 | ||||||
Li | 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 |