Linear regression (OLS, assumptions)

OLS, assumptions, and diagnostics.

0/10

completed

mediumR-Squared and Irrelevant Features
7/10

A data scientist adds 20 new random noise features to a linear regression model. R² on the training set increases. Why is this misleading?