The Poisson regression model is just an example of a generalized linear model. A Poisson regression model is used to model count data and contingency tables. In the case of count models, there are various Poisson regression adjustments that are useful. Given one or more independent factors, Poisson regression is used to predict a dependent variable made up of count data. The variable that we aim to predict is known as the dependent variable.