Chapter 7 M7: GLM Inference and Prediction

In this module we continue our exploration of generalized linear models (in particular, logistic and Poisson regression). Now that we know how to set up and interpret such models, we can start to think about the usual next steps in regression: checking conditions, performing inference, and making specific predictions for new data points.

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.