Lesson 12: Logistic, Poisson & Nonlinear Regression
Overview of this Lesson
Multiple linear regression can be generalized to handle a response variable that is categorical or a count variable. This lesson covers the basics of such models, specifically logistic and Poisson regression, including model fitting and inference.
Multiple linear regression, logistic regression, and Poisson regression are examples of generalized linear models, which this lesson introduces briefly.
The lesson concludes with some examples of nonlinear regression, specifically exponential regression and population growth models.
Key Learning Goals for this Lesson: 
