The standard error of estimate, , is given by:
A)SSE/(n - 2).
B) $\sqrt { S S E } / ( n - 2 )$ .
C) $\sqrt { S S E / ( n - 2 ) }$ .
D)SSE/ $\sqrt { n - 2 }$ .

Question

The standard error of estimate, , is given by:
A)SSE/(n - 2). 
B) $\sqrt { S S E } / ( n - 2 )$ . 
C) $\sqrt { S S E / ( n - 2 ) }$ . 
D)SSE/ $\sqrt { n - 2 }$ .

Quizplus · Accepted Answer

The standard error of estimate, $S _ { ε }$, is calculated as the square root of the sum of squared errors (SSE) divided by the degrees of freedom, which is $n - 2$ for simple linear regression. This is represented by option C: $\sqrt { S S E / ( n - 2 ) }$.

The Standard Error of Estimate, , Is Given By: A)SSE/(n SSE/(n−2)\sqrt { S S E } / ( n - 2 )SSE​/(n−2)

The Standard Error of Estimate, , Is Given By:
A)SSE/(n $\sqrt { S S E } / ( n - 2 )$