Multiple regression is linear regression analysis using more than one explanatory variable. Regression analysis involves creating a model that can be used to predict the value of an outcome variable from an independent variable. This video uses R programming to to illustrate multiple regression and the diagnostics required to ensure that the assumptions are met. These include that the residual values are are normally distributed, that the residual values are independent and that there is a linear relationship between the explanatory variable and the outcome variable. R programming represents an extremely powerful tool to undertake linear regression analysis including multiple regression.