| |||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. | |
GDP | -1.580509 | 0.357553 | -4.420351 | 0.0045 | |
SI | 2.498464 | 0.527976 | 4.732154 | 0.0032 | |
TI | 1.436964 | 0.345417 | 4.160081 | 0.0059 | |
| R-squared | 0.965671 | Mean dependent var | 114.9937 | ||
| Adjusted R-squared | 0.954229 | S.D. dependent var | 131.1083 | ||
| S.E. of regression | 28.04964 | Akaike info criterion | 9.767031 | ||
| Sum squared resid | 4720.695 | Schwarz criterion | 9.832772 | ||
| Log likelihood | -40.95164 | Durbin-Watson stat | 2.784715 | ||
| |||||
Variable | Coefficient | Std. Error | t-Statistic | Prob. | |
C | 2.505618 | 27.39280 | 0.091470 | 0.9307 | |
GDP | -1.604268 | 0.469712 | -3.415429 | 0.0189 | |
SI | 2.502501 | 0.579569 | 4.317868 | 0.0076 | |
TI | 1.478286 | 0.589080 | 2.509481 | 0.0539 | |
| R-squared | 0.965729 | Mean dependent var | 114.9937 | ||
| Adjusted R-squared | 0.945166 | S.D. dependent var | 131.1083 | ||
| S.E. of regression | 30.70117 | Akaike info criterion | 9.987581 | ||
| Sum squared resid | 4712.809 | Schwarz criterion | 10.07524 | ||
| Log likelihood | -40.94411 | F-statistic | 46.96498 | ||
| Durbin-Watson stat | 2.773575 | Prob(F-statistic) | 0.000437 | ||
如上面两个表所示,一个是有常数项的模型 一个是没有常数项的模型 但是加入常数项之后 t值不显著,p值很大 ,常数项的t值 p值是否关系很大??还有就是 是不是没有常数项 就没有F统计量出现的??
希望有人能帮帮我 我煎熬这个问题一天了 看了书 搜索了论坛 希望能有高人给个明确的解释给我 谢谢、、、、


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