结果输出如下:
probit y1 x1 x2 x3 x4 x5 x6
Iteration 0: log likelihood = -615.43148
Iteration 1: log likelihood = -595.9271
Iteration 2: log likelihood = -595.84594
Iteration 3: log likelihood = -595.84594
Probit regression Number of obs = 964
LR chi2(6) = 39.17
Prob > chi2 = 0.0000
Log likelihood = -595.84594 Pseudo R2 = 0.0318
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y1 | Coef. Std. Err. z P>|z| [95% Conf. Interval]
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x1 | .0866535 .0851626 1.02 0.309 -.0802622 .2535691
x2 | -.0361341 .0356551 -1.01 0.311 -.1060169 .0337487
x3 | .2339798 .0504149 4.64 0.000 .1351685 .3327912
x4 | .0408104 .0397255 1.03 0.304 -.03705 .1186709
x5 | .0185222 .0412169 0.45 0.653 -.0622614 .0993059
x6 | .0499582 .041193 1.21 0.225 -.0307785 .130695
_cons | -1.509258 .3089365 -4.89 0.000 -2.114763 -.9037537
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如何看这个结果,我只知道coef.那个是回归方程的系数,其他的都什么意思?看整个回归方程拟合度如何和Y分别于X1、X2、X3、X4、X5、X6的相关性统计显著性水平如何看?
谢谢了!!