Ononot — A standardized residual is defined as ri = \frac{ei}{se \sqr

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Linear Modelingmedium

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A standardized residual is defined as $r_i = \frac{e_i}{s_e \sqrt{1 - h_{ii}}}$ , where $e_i$ is the raw residual, $s_e$ is the residual standard error, and $h_{ii}$ is the leverage of the $i$ -th point. Why are standardized residuals preferred over raw residuals $e_i$ when looking for outliers?