计量经济学_三元线性回归模型案例分析(3)

Dependent Variable: Y Method: Least Squares Date: 01/09/10 Time: 13:16 Sample: 1978 2002 Included observations: 25

Variable C X2 X3 X4

R-squared

Coefficient

-2582.755 0.022067 0.702104 23.98506

Std. Error

940.6119 0.005577 0.033236 8.738296

t-Statistic

-2.745825 3.956633 21.12474 2.744821

Prob.

0.0121 0.0007 0.0000 0.0121

4848.366 4870.971 14.13511 14.33013 2717.254 0.000000

0.997430 Mean dependent var 0.997063 S.D. dependent var 263.9591 Akaike info criterion 1463163. Schwarz criterion -172.6889 F-statistic 0.948521 Prob(F-statistic)

Adjusted R-squared S.E. of regression Sum squared resid Log likelihood Durbin-Watson stat

模型估计的结果为：

Yi=-2582.755+0.022067X2+0.702104X3+23.98506X4 (940.6119) (0.0056) (0.0332) (8.7383)

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