In this first of a series of Office Hours videos focused on the linear regression model, Dan provides an overview of regression as most commonly applied within the social, behavioral, and health sciences. He begins with a simple one-predictor model in which performance is regressed on experience...

He describes the parameters that define the model both graphically and in equation form, and he shows how the intercept and slope of the regression line serve to summarize the relation between the predictor and the outcome. He then presents a computer demonstration of the one-predictor model in which he predicts blood alcohol content by number of beers consumed.