Source DF Squares Mean Square F Value Pr > F
Model 2633 67.82671514 0.02576024 28.76 <.0001
Error 18289 16.38276517 0.00089577
Corrected Total 20922 84.20948031
R-Square Coeff Var Root MSE rd Mean
0.805452 104.5777 0.029929 0.028619
Source DF Type I SS Mean Square F Value Pr > F
fixed1 2605 67.30583097 0.02583717 28.84 <.0001
fixed2 19 0.05105875 0.00268730 3.00 <.0001
a 1 0.00440471 0.00440471 4.92 0.0266
b 1 0.00053674 0.00053674 0.60 0.4389
c 1 0.01120096 0.01120096 12.50 0.0004
d 1 0.14850431 0.14850431 165.78 <.0001
e 1 0.00074522 0.00074522 0.83 0.3617
f 1 0.10792159 0.10792159 120.48 <.0001
g 1 0.18791847 0.18791847 209.78 <.0001
h 1 0.00062149 0.00062149 0.69 0.4049
i 1 0.00797193 0.00797193 8.90 0.0029
用proc glm得到上面的结果,那么接下来报告r-square时候怎么报那?
是要把控制的两个固定效应的Type I SS减掉吗?
求解答