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Data-Centric Statistical Inference Using R and Tidyverse

Model Selection Using Visualizations

Explore the process of model selection in multiple regression using visualizations. Understand when to use interaction versus parallel slopes models by comparing model complexity and fit, guided by Occam's razor. Learn practical application with real data examples and interpretation of regression outputs.

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When should we use an interaction model vs. a parallel slopes model? Recall that we fit both interaction and parallel slopes models for the outcome variable yy (teaching score) using a numerical explanatory variable x1x_1 (age) and a categorical explanatory variable x2x_2 ...