The Prediction Variance Profile plots the relative variance of prediction as a function of each factor at fixed values of the other factors. Figure 14.18 shows the Prediction Variance Profile for the Bounce Data.jmp data table, located in the Design Experiment folder.
Figure 14.18 Prediction Variance Profiler
You can evaluate a design or compare designs in terms of the maximum relative prediction variance. Select the Maximize Variance option from the red triangle menu next to Prediction Variance Profile. JMP uses a desirability function that maximizes the relative prediction variance. The value of the maximum variance in the Prediction Variance Profile is the worst (least desirable from a design point of view) value of the relative prediction variance. The maximum variance can occur at more than one combination of factor settings.
Figure 14.19 shows the Prediction Variance Profile with Maximize Variance selected. The plot is for the Bounce Data.jmp sample data table, located in the Design Experiment folder. The maximum value of the relative prediction variance is 1.3958 when Silica = 0.7, Sulfur = 1.8, and Silane = 40. However, keep in mind that several factor settings can have this same relative variance. The design point with Silica = 1.6, Sulfur = 2.8, and Silane = 60 also has relative prediction variance of 1.3958. To evaluate the prediction variance using a surface, see Prediction Variance Surface.
Figure 14.19 Prediction Variance Profile Showing Maximum Variance

Help created on 7/12/2018