![]() It assumes that the relationship between a given predictor variable and the outcome is independent of the other predictor variables (James et al. The above equation, also known as additive model, investigates only the main effects of predictors. Previously, we have described how to build a multiple linear regression model (Chapter for predicting a continuous outcome variable (y) based on multiple predictor variables (x).įor example, to predict sales, based on advertising budgets spent on youtube and facebook, the model equation is sales = b0 + b1*youtube + b2*facebook, where, b0 is the intercept b1 and b2 are the regression coefficients associated respectively with the predictor variables youtube and facebook.
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