What unique information can be gleaned from a multiple linear regression that is not available from a bivariate linear regression?

-Whether the model effect can be generalized to the population.

-The relative contributions from different predictors to the regression model.

-The parameters of the regression equation for predicting the outcome variable.

-The measure of how well the model fit the data set.