In calculating the standard error of the estimate, $$S _ { X X } = \sqrt { \mathrm { MSE } } \text {, there are } n - k - 1$$ degrees of freedom, where n is the sample size and k represents the number of independent
variables in the model.

Question

Quizplus · Accepted Answer

The formula for the standard error of the estimate is:```S_XX = sqrt(MSE)```where:* S_XX is the standard error of the estimate* MSE is the mean squared error* n is the sample size* k is the number of independent variables in the modelThe degrees of freedom for the MSE is:```df = n - k - 1```Therefore, the statement is true.

In Calculating the Standard Error of the Estimate SXX=MSE, there are n−k−1S _ { X X } = \sqrt { \mathrm { MSE } } \text {, there are } n - k - 1SXX​=MSE​, there are n−k−1

In Calculating the Standard Error of the Estimate $S _ { X X } = \sqrt { \mathrm { MSE } } \text {, there are } n - k - 1$