Question

Suppose your fit a least squares line to 25 data points and the calculated value of SSE is 8.56, what is the estimation of the variance (σ2) of the random error term?

Answer 1

To estimate the variance (σ2) of the random error term in a least squares line fit to 25 data points with a calculated SSE of 8.56, we need more information about the number of data points.

Step-by-step explanation:

To estimate the variance (σ2) of the random error term, we can use the formula: σ2 = SSE / (n - 2), where SSE is the sum of squared errors and n is the number of data points. In this case, SSE is given as 8.56. Since the question does not mention the number of data points, we cannot directly calculate σ2 without additional information. Therefore, we need more information in order to provide an estimation of the variance of the random error term.