= Regression diagnostics
Regression diagnostics check assumptions and influential observations in a fitted <regression function>. <Residual-versus-fitted plots> can reveal omitted mean structure or nonconstant <variance>; a <quantile-quantile plot> checks a specified error distribution. <Regression leverage> measures unusual predictor configurations, and <Cook's distance> combines leverage and residual size to measure coefficient sensitivity. Independence may require checking collection order and the study design in addition to residual plots.
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