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An outlier is an observation that appears to be unusual or not well described relative to a simple characterization of a dataset. A discomfiting possibility is that these data come from a different population than the one intended to be studied.
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In what order should you do linear regression diagnostics?
In linear regression analysis, we analyze outliers, investigate multicollinearity, test heteroscedasticty.
The question is: Is there any order to apply these? … I mean, do we have to analyze outliers very firstly, and then examine multicollinearity? Or reverse?
Is there any rule of thumb about this? …