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

In Multiple Regression, the Standard Error of Estimate Is Defined sz=SSE⁡/(n−k)s _ { z } = \sqrt { \operatorname { SSE } / ( n - k ) }sz​=SSE/(n−k)​

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