Chapter 6 M6: Structure of GLMs

Having spent the whole semester so far working with, estimating, analyzing, and evaluating linear regression models…let’s start changing them up!

The extension/variation of regression that we’ll see here is the generalized linear model. This is a class of models that includes the MLR models we’ve seen so far, but also techniques for handling different kinds of data, like binary or count results.

Some of these sets of notes come with a “response moment.” You don’t need to write down your answers to these (unless they also show up on the pre-class questions assignment), but it’s good to take a minute or so to think about them – they are designed to help you check your own understanding of what you’ve just seen.