When the results of an experiment are analyzed, the observed responses on the dependent variables can be fit to a separate prediction equation for each dependent variable (containing different coefficients but the same terms). Once these equations are constructed, predicted values for the dependent variables can be computed at any combination of levels of the predictor variables. A prediction profile for a dependent variable consists of a series of graphs, one for each independent variable, of the predicted values for the dependent variable at different levels of one independent variable, holding the levels of the other independent variables constant at specified values. Inspecting the prediction profiles for the dependent variables can show which levels of the predictor variables produce the most desirable predicted responses on the dependent variables.

For a detailed description of prediction profiles and desirability profiles, see Profiling Predicted Responses and Response Desirability: Overview.