This document outlines multiple linear regression. It begins with an introduction to regression and its objectives. It then presents the mathematical model of multiple linear regression as Y = a + b1X1 + b2X2 +...+ bkXk, where Y is the dependent variable, a is the intercept, and the bs are coefficients of the independent variables. An example is provided to illustrate the technique. Key assumptions and pros and cons are discussed, and references are presented.