We describe a hybrid method for computing confidence intervals for linear combinations of coefficients in multiple regression, with an emphasis on intervals for fitted values. The hybrid method combines the Bonferroni and Scheffé approaches, and it is applicable when there are both continuous and discrete predictors. It often leads to intervals that are narrower than those produced by the Scheffé method. We also describe how the method can create simultaneous prediction intervals for new observations.