Linear regression models are the focus of this chapter, serving as a foundation for understanding more complex models. The chapter defines linear regression models, explains how to estimate them using least-squares, and discusses interpreting the results. It also covers inference procedures for regression coefficients, analysis of variance methods, and tools for model selection.