Use Nominal Logistic Regression to model the relationship between a set of predictors and a nominal response. A nominal response has three or more outcomes that do not have an order, such as a scratch, dent, and tear. You can include interaction, polynomial, and nested terms.
For example, a school administrator want to investigate the variables that affect a student's preference for certain classes. The administrator uses nominal logistic regression to determine whether a student's age and the teaching method for a class is related to class preference.
To use nominal logistic regression, choose .