Not-so-simple linear regression with R

Simple linear regression isn't so simple! We'll do a test/train split, build and diagnose a model, consider p-values, look for influential points, make predictions, compute root mean squared error, and more. This is a deep dive! If this vid helps you, please help me a tiny bit by mashing that 'like' button. For more #rstats joy, crush that 'subscribe' button!