The chapter presents an accessible exploration of regression analysis tailored to the cultural research domain. The treatment begins with an overview of linear regression, elucidating the method’s core objectives, assumptions, and its practical utility for inferential statistics and prediction. By leveraging a popular dataset, the chapter illustrates the process of building, interpreting, and validating linear regression models, emphasizing their applicability in drawing robust cultural inferences. The narrative progresses to logistic regression, a technique adept at modeling binary outcomes. Throughout, the chapter balances statistical rigor with practical guidance, equipping readers with the tools to both understand and apply regression analyses to cultural datasets. The chapter details insights into the design intentions of the Pokémon series of games, as inferred through statistical patterns, offering a compelling example of how quantitative methods can yield qualitative understandings in cultural studies.