stata做二项logistic回归结果是啥意思啊，请大侠帮忙解释一下。越具体越好，拜谢

Question

. probit var1 var2 var3 var4 var5 var6 var7 var8

Iteration 0: log likelihood = -75.305176
Iteration 1: log likelihood = -61.498879
Iteration 2: log likelihood = -61.257579
Iteration 3: log likelihood = -61.257186
Iteration 4: log likelihood = -61.257186

Probit regression Number of obs = 111
LR chi2(7) = 28.10
Prob > chi2 = 0.0002
Log likelihood = -61.257186 Pseudo R2 = 0.1865

------------------------------------------------------------------------------
var1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
var2 | -.6850489 .4900949 -1.40 0.162 -1.645617 .2755195
var3 | .645045 1.37451 0.47 0.639 -2.048945 3.339035
var4 | .3068868 .1629794 1.88 0.060 -.0125469 .6263205
var5 | -2.363187 1.362816 -1.73 0.083 -5.034259 .3078837
var6 | .7109396 .9215346 0.77 0.440 -1.095235 2.517114
var7 | .9989861 .3547359 2.82 0.005 .3037164 1.694256
var8 | -.0345389 .0992107 -0.35 0.728 -.2289882 .1599104
_cons | -6.980545 3.490119 -2.00 0.045 -13.82105 -.1400369
------------------------------------------------------------------------------

Answer 1

coef 是回归系数；str.err是标准误；Z值相当于一般回归里的T值；P值（Z和P都可以用来判断显著性）；百分之95的置信区间。

。。。答得不好请见谅哈~追问

非常感谢亲，请问怎么看我的这个模型是不是显著的呀？

追答

看P值，P值小于0.05就是在5%的水平下显著。。。以此类推

Answer 2

Answer 3