ABSTRACT
In Chapter 12 we learned that not every regression is Normal. In Chapter 13, we'll confront another fact: not every response variable Y is quantitative. Rather, we might wish to model Y, whether or not a singer wins a Grammy, by their album reviews. Or we might wish to model Y, whether or not a person votes, by their age and political leanings. Across these examples, and in classification settings in general, Y is categorical. In Chapters 13 and 14 we'll dig into two classification techniques: Bayesian logistic regression and naive Bayesian classification.
