sas eIntelligence 多元回归 The power to know
多元回归
sas eIntelligence 编程 可用REG过程: Proc reg dataedatad7 8 Model y=x, x2 X3: Runa The power to know
一、编程 可用REG过程： Proc reg data=data.d7_8; Model y=x1 x2 x3 ; Run;
sas eIntelligence 分析结果 Parameter Standard t for ho: Variable DF Estimate Error Parameter=0 Prob>TI INTERCEP1-30355363542168.6738473-14000.2111 6093182336.297137981.6790.1442 X213780833422980808911.6450.1510 X31101.379460121.974703100.83104377 The power to know
分析结果 Parameter Standard T for H0: Variable DF Estimate Error Parameter=0 Prob >|T| INTERCEP 1 -3035.536354 2168.6738473 -1.400 0.2111 X1 1 60.931823 36.29713798 1.679 0.1442 X2 1 37.808334 22.98080891 1.645 0.1510 X3 1 101.379460 121.97470310 0.831 0.4377
sas eIntelligence 筛选自变量的多元回归一逐步回归 编程: Proc reg data=data d7 8 Model y=x1 x2 X3 selection= stepwise(逐步回归) sle=025(入选变量的临界值) sl=025(剔除变量的临界值); Run The power to know
筛选自变量的多元回归—逐步回归 编程： Proc reg data=data.d7_8; Model y=x1 x2 x3 /selection=stepwise(逐步回归) sle=0.25(入选变量的临界值) sls=0.25(剔除变量的临界值); Run;
sas eIntelligence 飞选和剔除变量的过程 ariable Number Step Entered Removed In F Prob>F 1X3 19.064300168 2X1 2161260.2447 3X2 32706701510 4 X320.69080.4377 The power to know
入选和剔除变量的过程 Variable Number Step Entered Removed In F Prob>F 1 X3 1 9.0643 0.0168 2 X1 2 1.6126 0.2447 3 X2 3 2.7067 0.1510 4 X3 2 0.6908 0.4377