Beyond the Straight Line: Choosing Between OLS, Interaction Terms, and Tweedie Regression

This article explores the decision-making process for selecting between Ordinary Least Squares regression, models with interaction terms, and Tweedie regression based on data characteristics like zeros and outliers. It emphasizes that the choice depends on how the data handles messy real-world distributions. The post is aimed at data scientists seeking guidance on regression model selection.