SSR = SER2 * (n-k-1) 这是个什么公式啊

问题如下：

A multiple regression with 165 observations (n = 165) on five regressors (k = 5) produces a standard error of the regression (SER) equal to 7.0 and a total sum of squares (TSS) equal to 26,000. What is the regression's adjusted R² ?

选项：

A.

0.33

B.

0.48

C.

0.69

D.

0.72

解释：

SER = SQRT[SSR/(n-k-1)], SSR = SER² * (n-k-1).

In this case, SSR = 7² *(165-5-1) = 7,791.

Adjusted R² = 1 - [(n-1)/(n-k-1)] * (SSR/TSS) = 1 - (164/159)*7791 / 26000 = 0.691