原始数据是40个obs
logistic y x1 x2 x3
note: x3 != 1 predicts failure perfectly
x3 dropped and 7 obs not used
只得到x1 x2的分析结果。
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y | Odds Ratio Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x1 | 1.835185 1.434904 0.78 0.437 .3964035 8.496146
x2 | .9724318 .0311901 -0.87 0.383 .9131821 1.035526
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为什么没有使用x3呢?