Understanding Centering in Regression Models

This chapter explores the critical concept of centering in regression analysis, highlighting its importance in the interpretation of model outputs. Through anecdotes and technical discussions, the speakers clarify how centering predictors can mitigate issues like multicollinearity and reveal meaningful interaction effects. The dialogue thoughtfully balances personal experiences with statistical insights, offering a comprehensive understanding of the nuances involved in quantitative analysis.