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# 15.3: Summary


In this chapter we have described how you can approach the diagnostic stage for OLS multiple regression analysis. We described the key threats to the necessary assumptions of OLS, and listed them and their effects in Table 15.1. But we also noted that diagnostics are more of an art than a simple recipe. In this business you will learn as you go, both in the analysis of a particular model (or set of models) and in the development of your own approach and procedures. We wish you well, Grasshopper!

1. See the lmtest package documentation for more options and information.↩
2. Note that we jitter the points to make them easier to see.↩
3. H White, 1980. “A Heteroscedasticity-consistent covariance matrix estimator and a direct test for heteroscedasticity.” Econometrica 48: 817-838.↩

15.3: Summary is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Jenkins-Smith et al. via source content that was edited to conform to the style and standards of the LibreTexts platform; a detailed edit history is available upon request.

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