In a simple linear regression problem,if the standard error of estimate $S _ { e }$
= 15 and n = 8,then the sum of squares for error,SSE,is 1,350.

Question

In a simple linear regression problem,if the standard error of estimate $S _ { e }$ 
= 15 and n = 8,then the sum of squares for error,SSE,is 1,350.

Quizplus · Accepted Answer

The sum of squares for error (SSE) is equal to the standard error of estimate (Se) squared multiplied by the degrees of freedom (df). In this case, df = n - 2 = 8 - 2 = 6. Therefore, SSE = Se^2 * df = 15^2 * 6 = 1,350.

In a Simple Linear Regression Problem,if the Standard Error of Estimate