Linear regression and Poisson regression are two statistical methods used to analyze the relationship between independent and dependent variables. In theory, linear regression is more appropriate for continuous data while Poisson regression is more appropriate for discrete data such as the number of events. However, in practice, many studies still use linear regression to analyze discrete data …