Questions
Factual
- What is the best way to handle NA values when performing a regression?
- When will the quantiles graph for a regression model not look like a nice line of fit?
- Can you compare the anova versus manova results? Aside from the multiple sections, is there really a difference in the calculations?
When, how, and why?
- Why does the Residuals vs Leverage graph show such a blob of data?
- Why do we use 4 as a rounding number in the robust regression?
- At what point will you feel comfortable deciding that the dataset you are using for a regression has the right set of predictors in use?
Challenges
- Are there better predictors available for obesity than those used in the chapter?
- How can multilevel regression be used for either the obesity or mpg datasets?
- Can you determine a different set of predictors for mpg that does not reduce it to simple government fiat?
