sas eIntelligence 直线回归 The power to know
直线回归
sas eIntelligence 编程 可用REG过程: Proc reg data=data d7 1 Model y=x Runa The power to know
一、编程 可用REG过程： Proc reg data=data.d7_1; Model y=x; Run;
sas eIntelligence 分析结果 Analysis of Variance Sum of mean Source DF Squares Square f value prob>F Mode137374106337374106360.1970.0001 Error8496.6893762.08617 C Tota|94234.10000 Root MsE 7.87948 R-square 0.8827 Dep Mean 154.30000 Adj R-Sq 0.8680 5.10660 The power to know
分析结果 Analysis of Variance Sum of Mean Source DF Squares Square F Value Prob>F Model 1 3737.41063 3737.41063 60.197 0.0001 Error 8 496.68937 62.08617 C Total 9 4234.10000 Root MSE 7.87948 R-square 0.8827 Dep Mean 154.30000 Adj R-sq 0.8680 C.V. 5.10660
sas eIntelligence 分析结果 Parameter estimates Parameter Standard T for Ho: Variable DF Estimate Error Parameter=0 Prob>TI NTERCEP1-173574562226443147-078004581 (常数项a) X10.2218940.0285994977590.0001 (回归系数b 回归方程:y=-17.357456+0221894x The power to know
分析结果 Parameter Estimates Parameter Standard T for H0: Variable DF Estimate Error Parameter=0 Prob > |T| INTERCEP 1 -17.357456 22.26443147 -0.780 0.4581 (常数项 a) X 1 0.221894 0.02859949 7.759 0.0001 (回归系数b) 回归方程：y=-17.357456+0.221894x
sas eIntelligence 示准化偏回归系数-stb选项 结果: Standardized Variable Df Estimate INTERCEP 1 0.00000000 1093951745 The power to know
结果： Standardized Variable DF Estimate INTERCEP 1 0.00000000 X 1 0.93951745 标准化偏回归系数--stb选项