今天有老师帮忙做出了logit的结果,是stata做的。之前没看过不知道怎么用,求懂的前辈来看看
貌似这里都是阴性结果,是不是说明没有相关或者什么的啊?
1.这是第一个
Iteration 0: log likelihood = -180.47341
Iteration 1: log likelihood = -179.86769
Iteration 2: log likelihood = -179.86706
Iteration 3: log likelihood = -179.86706
Logistic regression Number of obs = 308
LR chi2(3) = 1.21
Prob > chi2 = 0.7500
Log likelihood = -179.86706 Pseudo R2 = 0.0034
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correctgroup | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
sex | .2442052 .270538 0.90 0.367 -.2860396 .77445
class | .0445818 .1212505 0.37 0.713 -.1930649 .2822284
college | .0540035 .2819299 0.19 0.848 -.498569 .6065759
_cons | -90.77355 243.7317 -0.37 0.710 -568.4789 386.9318
2.这是第二个
Iteration 0: log likelihood = -180.47341
Iteration 1: log likelihood = -179.69923
Iteration 2: log likelihood = -179.69818
Iteration 3: log likelihood = -179.69818
Logistic regression Number of obs = 308
LR chi2(3) = 1.55
Prob > chi2 = 0.6707
Log likelihood = -179.69818 Pseudo R2 = 0.0043
------------------------------------------------------------------------------
correctgroup | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
sex | .3047227 .2672197 1.14 0.254 -.2190183 .8284638
classgroup | .1979253 .2896891 0.68 0.494 -.3698548 .7657054
college | .1211345 .2682421 0.45 0.652 -.4046103 .6468794
_cons | -1.331071 .3577504 -3.72 0.000 -2.032249 -.6298929