Learn multiple regression analysis through hands-on practice with R programming in this 33-minute comprehensive video tutorial, covering essential concepts from basic linear regression to advanced statistical tests. Master the creation of predictive models using multiple explanatory variables, understand crucial diagnostic techniques to validate model assumptions including residual normality, independence, and linearity. Progress through topics like tree regression, interactions, and various statistical plots while leveraging R's powerful analytical capabilities for practical regression analysis applications.