Suppose you fit a least squares line to 23 data points and the calculated value of SSE is $0.495$.
a. Find $s ^ { 2 }$, the estimator of $\sigma ^ { 2 }$.
b. What is the largest deviation you might expect between any one of the 23 points and the least squares line?

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The Answer of Suppose you fit a least squares line to 23 data points and the calculated value of SSE is $0.495$.
a. Find $s ^ { 2 }$, the estimator of $\sigma ^ { 2 }$.
b. What is the largest deviation you might expect between any one of the 23 points and the least squares line?

Suppose You Fit a Least Squares Line to 23 Data 0.4950.4950.495

Suppose You Fit a Least Squares Line to 23 Data $0.495$