> I've been looking fairly carefully at the Q-Q plots produced by > plot.lm() and am having difficulty understanding why plot.lm() > is doing what it's doing, specifically scaling the standardized > residuals by the prior weights. Can anyone explain this to me ... ? Because with ideal choice of prior weights the scaled residuals are expected to be IID Normal (under the normality assumption for a linear model) and without scaling they aren't IID, so a Q-Q plot would be meaningless without scaling.
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