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    $\begingroup$ Studentized residuals are udoubtedly better in detecting outliers, and, maybe, a little bit better in heteroscedasticity inspection. For other purposes, it makes no difference for me what residuals to use. $\endgroup$ Commented Feb 12, 2012 at 6:04
  • $\begingroup$ To bring attention to a question, Michelle, or ask for a change in its status (such as CW), please follow the "flag" link beneath the question. This will automatically notify all moderators. Embedding requests in questions, comments, or replies is hit-or-miss because it relies on the hope a moderator (or other high-rep user) will actually read it within a reasonable time! $\endgroup$ Commented Feb 16, 2012 at 15:28
  • $\begingroup$ @whuber Ah, see I did think one of you would read it eventually. :) Thanks for the tip on using flags. $\endgroup$ Commented Feb 16, 2012 at 19:23
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    $\begingroup$ Hi @ttnphns Why would they be better? In particular, why would studentized be better than standardized? (I've never really known the answer here) $\endgroup$ Commented Oct 4, 2012 at 19:12
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    $\begingroup$ @Peter, Studentized residuals are less "distorted" by the OLS fitting algo and are closer to theoretical notion of "errors". They can be directly compared at different regions of the fit line, thence are better in decision if a point is an outlier. $\endgroup$ Commented Oct 5, 2012 at 6:58