Do a Poisson Regression?

In statistics, Poisson regression is a generalized linear model form of regression analysis used to model count data and contingency tables.

What does a Poisson regression do?

Poisson regression is used to model response variables (Y-values) that are counts. It tells you which explanatory variables have a statistically significant effect on the response variable. In other words, it tells you which X-values work on the Y-value.

When should you use Poisson regression?

Poisson Regression models are best used for modeling events where the outcomes are counts. Or, more specifically, count data: discrete data with non-negative integer values that count something, like the number of times an event occurs during a given timeframe or the number of people in line at the grocery store.