eviews输出的结果
Heteroskedasticity Test: White
F-statistic 2.841803 Prob. F(14,28) 0.0090
Obs*R-squared 25.23802 Prob. Chi-Square(14) 0.0323
Scaled explained SS 23.50558 Prob. Chi-Square(14) 0.0525
Test Equation:
Dependent Variable: RESID^2
Method: Least Squares
Date: 04/27/12 Time: 12:35
Sample: 2008M08 2012M02
Included observations: 43
Variable Coefficient Std. Error t-Statistic Prob.
C -170.6015 234.8917 -0.726299 0.4737
X1 5.063766 4.174262 1.213093 0.2352
X1^2 -0.034748 0.021688 -1.602211 0.1203
X1*X2 0.004774 0.009879 0.483264 0.6327
X1*X3 0.022298 0.020083 1.110294 0.2763
X1*X4 -0.003208 0.004511 -0.711135 0.4829
X2 0.372015 1.438058 0.258693 0.7978
X2^2 0.005553 0.003786 1.466691 0.1536
X2*X3 -0.025362 0.013709 -1.850086 0.0749
X2*X4 0.005760 0.001900 3.031851 0.0052
X3 -2.759155 2.891963 -0.954077 0.3482
X3^2 0.017633 0.016050 1.098661 0.2813
X3*X4 -0.007015 0.004653 -1.507407 0.1429
X4 0.429571 0.501574 0.856447 0.3990
X4^2 0.000230 0.000852 0.270113 0.7891
R-squared 0.586931 Mean dependent var 0.517104
Adjusted R-squared 0.380396 S.D. dependent var 0.808063
S.E. of regression 0.636066 Akaike info criterion 2.201650
Sum squared resid 11.32824 Schwarz criterion 2.816023
Log likelihood -32.33548 Hannan-Quinn criter. 2.428212
F-statistic 2.841803 Durbin-Watson stat 1.956145
Prob(F-statistic) 0.009040
是不是看下面这个就行了?请问评判是否有异方差的标准是什么?谢谢
Obs*R-squared 25.23802 Prob. Chi-Square(14) 0.0323