§9.1自变量中含有定性变量的回归模型 建立y对x1、x2的线性回归 Model Summary Std. Error Adjusted R of the Model RR Square square Estimate 938 879 869 1288.68 a. Predictors: (Constant), X2, X1 ANOVA Mode Sum of Squares df Mean square F Sig Regression 290372875.924 2|145186437.96287.425.000 39856639705241660693321 Total 330229515630ANOVA 290372875.924 2 145186437.962 87.425 .000 39856639.705 2 4 1660693.321 330229515.630 2 6 Regression Residual Total Model 1 Sum of Squares d f Mean Square F Sig. §9.1 自变量中含有定性变量的回归模型 建立y对x1、x2的线性回归 Model Summary .938a .879 .869 1288.68 Model 1 R R Square Adjusted R Square Std. Error of the Estimate a. Predictors: (Constant), X2, X1