如下例，是否可以理解为，岭回归模型可以解释y 73.36%的变化？其中x1的贡献率最大，其次为x6和x2？谢谢！
MultR 0.733645486
RSquare 0.5382357
AdjRSqu 0.536062691
SE 0.759030394
ANOVA table
df SS MS
Regress 6 856.211 142.702
Residual 1275 734.562 0.576
F value Sig F
247.691487 0
--------------Variables in the Equation----------------
B SE(B) Beta T sig
x1 11.1926147 0.3189397 0.5496262 35.0931971 0
x2 -1.4474516 0.1146496 -0.1804992 -12.6249982 0
x3 -0.6453717 0.1361024 -0.0721307 -4.7418094 0.0000024
x4 -0.6521687 0.7864955 -0.0177703 -0.8292084 0.4071417
x5 -0.283149 0.4009473 -0.0146265 -0.7061999 0.4801928
x6 -1.4674019 0.2600299 -0.1169177 -5.6432052 0
Constant 29.3000092 0.1286039 0 227.8314781 0
------ END MATRIX -----
