Poisson regression

Poisson regression is a type of statistical modeling used primarily for count data. It is particularly useful when the response variable represents counts of events that occur within a fixed period of time or space. The key characteristics of Poisson regression are: 1. **Count Data**: The dependent variable is a count (e.g., number of events, occurrences, etc.), typically non-negative integers (0, 1, 2, ...).