A hierarchical regression analysis is appropriate when we want to A hierarchical regression analysis is appropriate when we want to compare more than one nominal-level dependent variable. make causal inferences about the effect of one or more ordinal-level independent variables. analyze scale-level data with many extreme outliers. isolate the effect of one predictor controlling for the effect of another predictor