不太懂logistic模型,但是需要用一下,怕自己弄错回归结果,希望高手帮忙解读一下 谢谢啦
Logistic regression Number of obs = 2406
LR chi2(5) = 1094.93
Prob > chi2 = 0.0000
Log likelihood = -1098.0925 Pseudo R2 = 0.3327
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migrate | Odds Ratio Std. Err. z P>|z| [95% Conf. Interval]
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x1 | .9042325 .1180938 -0.77 0.441 .7000229 1.168014
x3 | .537768 .0819555 -4.07 0.000 .3989077 .7249658
number | 1.550895 .0538292 12.64 0.000 1.448901 1.66007
marriage | .175145 .013187 -23.14 0.000 .1511155 .2029955
chengxiang | .269109 .0309863 -11.40 0.000 .2147421 .33724
_cons | 10.16926 2.07083 11.39 0.000 6.822657 15.1574
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