Dependent Variable: Y Method: Least Squares
例：建立家庭书刊消费水平(Y)关于家庭收入(X) 和户主受教育年限(T)的线性回归模型。
Date: 01/13/05 Time: 20:23Sample: 1 18 Included observations: 18 Variable C X T R-squared Adjusted R-squared S.E. of regression
50.0164 0.0865 X 52.3703 T Y se ( 49.4603) (0.0294) (5.2022) t ( 1.0112) ( 2.9442) (10.067)Std. Error 49.46026 0.029363 5.202167 t-Statistic -1.011244 2.944186 10.06702
Coefficient -50.01638 0.086450 52.37031 0.951235 0.94
4732 60.82273
Prob. 0.3279 0.0101 0.0000 755.1222 258.7206 11.20482
Mean dependent var S.D. dependent var Akaike info criterion
Sum squared residLog likelihood Durbin-Watson stat
55491.07-97.84334 2.605783
Schwarz criterionF-statistic Prob(F-statistic)
11.35321146.2974 0.000000