Introduction to Multiple Linear Regression

This video is an introduction to multiple linear regression, including a description of how it is used, its elements, and the assumptions data must meet to be analyzed by the test. The assumptions of simple linear regression, including normality, no multicollinearity, linearity, and homoscedasticity are reviewed.