In calculating the standard error of the estimate,S_YX = $$\sqrt { \mathrm { MSE } }$$ 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.

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Quizplus · Accepted Answer

This statement is true. The formula for calculating the standard error of the estimate (also known as the residual standard error) is based on the sum of squared errors (SS1) and the degrees of freedom, which is equal to n-k-1. Therefore, knowing the sample size (n) and the number of independent variables (k) is essential in calculating the standard error of the estimate.

In Calculating the Standard Error of the Estimate,SYX = MSE\sqrt { \mathrm { MSE } }MSE​

In Calculating the Standard Error of the Estimate,S_YX = $\sqrt { \mathrm { MSE } }$