This video covers the concept of multiple linear regression, which is used to measure the association between multiple predictors and a continuous variable. Next, I cover the concept of adjusted R-squared and how it differs from standard r-squared. Finally, I cover the regression assumption of multicollinearity since this becomes important once you use more than one predictor.
Kelsey Emnett, Data Scientist 