a statistical model that is based upon an equation of the form Y=BX+E, in which Y is a vector containing scores from an outcome variable, B represents the b-values, X the predictor variables, and E the error terms associated with each predictor. The equation can represent a solitary predictor variable (B, X, and E are vectors) as in simple regression, or multiple predictors (B, X, and E are matrices) as in multiple regression. The key is the form of the model, which is linear (e.g., with a single predictor the equation is that of a straight line). 15th EditionDouglas A. Lind, Samuel A. Wathen, William G. Marchal1,236 explanations

5th EditionDaniel S. Yates, Daren S. Starnes, David Moore2,433 explanations

8th EditionSheldon Ross927 explanations

Jim Pitman464 explanations