ABSTRACT
Our work in Unit 1 (learning how to think like Bayesians and build simple Bayesian models) and Unit 2 (exploring how to simulate and analyze these models), sets us up to expand our Bayesian toolkit to more sophisticated models in Unit 3. Thus, far, our models have focused on the study of a single data variable Y. For example, in Chapter 4 we studied Y, whether or not films pass the Bechdel test. Yet once we have a grip on the variability in Y, we often have follow-up questions: can the passing / failing of the Bechdel test be explained by a film's budget, genre, release date, etc.?
