SSR和SSE哪个是回归偏差哪个是剩余偏差？？

SSR 回归偏差 Sum of squares due to regression
SSE 剩余偏差 Sum of squares due to error

是SSR。
SSR是square sum of residue的意思，就是残差平方和。
SSE是squaer sum of estimation的意思，就是估计平方和。

SST = total sum of squares (sum of squared total variation) 类似平方差，可以看成所有数据间的差异
SSE = explained sum of squares (sum of squared regression) 回归线估值间的总差异 既回归平方和
SSR = residual sum of squares (sum of squared residuals) 数据跟估值的总差异 既剩余平方和