Suppose you fit a least squares line to 22 data points and the calculated value of SSE is
.678. a. Find $s ^ { 2 }$, the estimator of $\sigma ^ { 2 }$.
b. Find $s$, the estimator of $\sigma$.
c. What is the largest deviation you might expect between any one of the 22 points and the least squares line?

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The Answer of Suppose you fit a least squares line to 22 data points and the calculated value of SSE is
.678. a. Find $s ^ { 2 }$, the estimator of $\sigma ^ { 2 }$.
b. Find $s$, the estimator of $\sigma$.
c. What is the largest deviation you might expect between any one of the 22 points and the least squares line?

Suppose You Fit a Least Squares Line to 22 Data s2s ^ { 2 }s2

Suppose You Fit a Least Squares Line to 22 Data $s ^ { 2 }$