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（2）估计结果为： Dependent Variable: Y Method: Least Squares Date: 12/06/12 Time: 17:57 Sample: 1 10 Included observations: 10 Coefficient Std. Error t-Statistic Prob.?? C 626.5093 40.13010 15.61195 0.0000 X1 -9.790570 3.197843 -3.061617 0.0183 X2 0.028618 0.005838 4.902030 0.0017 R-squared 0.902218 ??Mean dependent var 670.3300 Adjusted R-squared 0.874281 ??S.D. dependent var 49.04504 S.E. of regression 17.38985 ?Akaike info criterion 8.792975 Sum squared resid 2116.847 ???Schwarz criterion 8.883751 Log likelihood -40.96488 ??Hannan-Quinn criter. 8.693395 F-statistic 32.29408 ???Durbin-Watson stat 1.650804 Prob(F-statistic) 0.000292 怀特检验结果： Heteroskedasticity Test: White F-statistic 9.793067 ????Prob. F(2,14) 0.0022 Obs*R-squared 9.913742 ??Prob. Chi-Square(2) 0.0070 Scaled explained SS 16.01775 ??Prob. Chi-Square(2) 0.0003 Test Equation: Dependent Variable: RESID^2 Method: Least Squares Date: 12/06/12 Time: 21:03 Sample: 1 17 Included observations: 17 Coefficient Std. Error t-Statistic Prob.?? C 377413.0 5489471. 0.068752 0.9462 X -37.40002 129.8686 -0.287984 0.7776 X^2 0.000978 0.000592 1.650696 0.1210 R-squared 0.583161 ???Mean dependent var 7165456. Adjusted R-squared 0.523613 ???S.D. dependent var S.E. of regression??Akaike info criterion 35.30858 Sum squared resid 1.51E+15 ???Schwarz criterion 35.45561 Log likelihood -297.1229 ??Hannan-Quinn criter. 35.32319 F-statistic 9.793067 ???Durbin-Watson stat 2.631133 Prob(F-statistic) 0.002187 （2）用加权最小二乘法消除异方差，修正结果如下表所示： Dependent Variable: Y Method: Least Squares Date: 12/08/12 Time: 16:57 Sample: 1 17 Included observations: 17 Weighting series: 1/ABS(E) Coefficient Std. Error t-Statistic Prob.?? C -153.7648 148.0721 -1.038445 0.3155 X 0.037666 0.003043 12.377