10: OLS Assumptions and Simple Regression Diagnostics — Read

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10.1: A Recap of Modeling Assumptions
10.2: When Things Go Bad with Residuals
Residual analysis is the process of looking for signature patterns in the residuals that are indicative of a failure in the underlying assumptions of OLS regression. Different kinds of problems lead to different patterns in the residuals.
10.3: Application of Residual Diagnostics
This far we have used rather simple illustrations of residual diagnostics and the kinds of patterns to look for. But you should be warned that, in real applications, the patterns are rarely so clear.
10.4: So Now What? Implications of Residual Analysis
10.5: Summary

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