In multiple regression, the standard error of estimate is defined by $S _ { \varepsilon } = \sqrt { SSE / ( n - k ) }$ , where n is the sample size and k is the number of independent variables.

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The Answer of In multiple regression, the standard error of estimate is defined by $S _ { \varepsilon } = \sqrt { SSE / ( n - k ) }$ , where n is the sample size and k is the number of independent variables.

In Multiple Regression, the Standard Error of Estimate Is Defined Sε=SSE/(n−k)S _ { \varepsilon } = \sqrt { SSE / ( n - k ) }Sε​=SSE/(n−k)​

In Multiple Regression, the Standard Error of Estimate Is Defined $S _ { \varepsilon } = \sqrt { SSE / ( n - k ) }$