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Data-Centric Statistical Inference Using R and Tidyverse

Regression Plane

Explore how to fit and interpret a regression plane with two numerical explanatory variables in multiple regression. Understand coefficient estimates, the role of the intercept, and phenomena like Simpson's Paradox while working with regression outputs and residuals in R.

We'll cover the following...

Let’s now fit a regression model and get the regression table corresponding to the regression plane. To keep things brief in this lesson, we won’t consider an interaction model for the two numerical explanatory variables income and credit_limit. This isn’t like the interaction model we considered in the Interaction Model lesson, using the model formula score ...