11.7: Multinomial Regression

Upcoming deadlines

  • HW 4: Sunday, Nov 10 11:59 PM
  • Project Proposal: Sunday, Nov 17 11:59 PM

Reminder: Class on Tuesday Nov 5 will be optional in observance of Election Day. We will not cover new material, but I will be available for questions.

Learning Objectives

  • Identify when to use a multinomial logistic regression model

  • Interpret a multinomial logistic regression model

  • Generate a multinomial logistic regression model in R

Class Prep

Watch this video:

Multinomial Regression

If you would like to run the code along with the lecture, you can load the data using the following:

library(foreign) #install the package in the console! The package contains the function `read.dta` that is used to access the data
ml <- read.dta("https://stats.idre.ucla.edu/stat/data/hsbdemo.dta")

Slides: Multinomial Regression

ISLR briefly covers multinomial regression in section 4.3.5

Class materials

Notes

Wooclap