1.The multiple linear regression model is an extension of the bivariate linear regression model.

2.You will see that rather than a single predictor (“x”) variable, the model is extended to have multiple predictors.

3.Importantly, the interpretation for each “x” variable relates to how much it is related (predicts) the outcome (“y”) variable after taking into account the other predictors.