|
|
|
|
|
|
|
|
|
|
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、、、、
扫码加好友，拉您进群
全部版块
我的主页
收藏
