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

Name: In a simple linear regression problem, if the standard error of estimate = 15 and n = 8, then the sum of squares for error, SSE, is 1,350.
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Question

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

Quizplus · Accepted Answer

We know that SSE = (n-2)*MSE, where MSE is the mean square error. 
MSE = (standard error of estimate)^2 = 15^2 = 225 
SSE = (n-2)*MSE = (8-2)*225 = 1350 
Therefore, the statement is true.

In a Simple Linear Regression Problem, If the Standard Error