In simple linear regression, the divisor of the standard error of estimate, $S _ { \varepsilon }$ , is n - 1.

Name: In simple linear regression, the divisor of the standard error of estimate, $S _ { \varepsilon }$ , is n - 1.
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In simple linear regression, the divisor for the standard error of the estimate, $S_{\varepsilon}$, is $n - 2$, where $n$ is the number of observations. This accounts for the two parameters estimated (slope and intercept).

In Simple Linear Regression, the Divisor of the Standard Error SεS _ { \varepsilon }Sε​

In Simple Linear Regression, the Divisor of the Standard Error $S _ { \varepsilon }$