Chapter 5 M5: Thinking About Response

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 response variables, like binary (yes/no) variables or counts.

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.