文档介绍:(1) 对原模型OLS回归分析结果:
Dependent Variable: Y
Method: Least Squares
Date: 04/01/09 Time: 15:44
Sample: 1 60
Included observations: 60
Variable
Coefficient
Std. Error
t-Statistic
Prob.
C
X
R-squared
Mean dependent var
Adjusted R-squared
. dependent var
. of regression
Akaike info criterion
Sum squared resid
Schwarz criterion
Log likelihood
-
F-statistic
Durbin-Watson stat
Prob(F-statistic)
(2)
White检验结果:
White Heteroskedasticity Test:
F-statistic
Probability
Obs*R-squared
Probability
Test Equation:
Dependent Variable: RESID^2
Method: Least Squares
Date: 04/01/09 Time: 15:45
Sample: 1 60
Included observations: 60
Variable
Coefficient
Std. Error
t-Statistic
Prob.
C
-
-
X
X^2
R-squared
Mean dependent var
Adjusted R-squared
. dependent var
. of regression
Akaike info criterion
Sum squared resid
Schwarz criterion
Log likelihood
-
F-statistic
Durbin-Watson stat
Prob(F-statistic)
nR2=, (2)=,nR2>,所以拒绝原假设,表明模型中随机误差项存在异方差。
Goldfeld-Quandt检验:
Dependent Variable: Y
Method: Least Squares
Date: 04/01/09 Time: 16:16
Sample: 1 22
Included observations: 22
Variable
Coefficient
Std. Error
t-Statistic
Prob.
C
X
R-squared
Mean dependent var
Adjusted R-squared
. dependent var
. of regression
Akaike info criterion
Sum squared resid
Schwarz crit