ABSTRACT
Multiple regression has two distinct uses with observational data: prediction of outcomes and interpretation of process. For prediction, multiple regression is efficient, effective, and makes optimal use of multiple predictor variables while avoiding certain biases that afflict human judges. In most prediction tasks, accordingly, multiple regression outdoes the experts.
