Use Ordinal Logistic Regression to model the relationship between a set of predictors and an ordinal response. An ordinal response has three or more outcomes that have an order, such as low, medium, and high. You can include interaction and polynomial terms, nest terms within other terms, and fit different link functions.
For example, a field biologist studies the survival time of salamanders and wants to determine whether survival is related to region and the level of water toxicity. The biologist divides survival time into three categories: less than 10 days, 11 to 30 days, and over 30 days. Because the response is an ordinal variable, the biologist uses ordinal logistic regression.
To use ordinal logistic regression, choose .