Tobit regression Number of obs = 15
LR chi2(6) = 22.52
Prob > chi2 = 0.0010
Log likelihood = 24.248417 Pseudo R2 = -0.8668
------------------------------------------------------------------------------
y | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
x1 | -.2907499 .6740179 -0.43 0.676 -1.815484 1.233985
x2 | -.2417269 .0873236 -2.77 0.022 -.4392666 -.0441873
x3 | .0031238 .0072677 0.43 0.677 -.0133167 .0195644
x4 | .1374115 .6225493 0.22 0.830 -1.270893 1.545716
x5 | -.0010169 .0008226 -1.24 0.248 -.0028778 .0008439
x6 | .000147 .0000597 2.46 0.036 .000012 .0002821
_cons | 1.181817 .84419 1.40 0.195 -.7278733 3.091508
-------------+----------------------------------------------------------------
/sigma | .0384779 .0074652 .0215905 .0553654
------------------------------------------------------------------------------
Obs. summary: 1 left-censored observation at y<=.70300001
14 uncensored observations
0 right-censored observations
以上是我用stata进行tobit回归算出来的数据,想问一下,这个结果是有效结果么,t和P>|t| 代表着什么意义,我是新手,请帮我指点迷津!
另外,我看到一篇文章上说,显著性小于0.05才是显著明显,意思就是那个P>|t|数值小于0.05嘛,为什么是这样呢,而不是值越大越明显,谢谢


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