To find the maximum value of the relative prediction variance over the design space for all designs, select the Optimization and Desirability > Maximize Desirability option from the red triangle next to Prediction Variance Profile. For more details, see Maximize Desirability.
Prediction Variance Profile for Three Designs
The Prediction Variance Profile plot in Prediction Variance Profile for Three Designs is for the three designs constructed in Designs of Different Run Sizes. Two two-way interactions, X1*X3 and X2*X3, have been added to the Model outline. The initial value for each continuous factor in the plot is the midpoint of its design settings. The Variance values to the left indicate that, as the number of runs increases, the variance decreases at the center point.
You can also evaluate a design or compare designs in terms of the maximum relative prediction variance. Select the Optimization and Desirability > Maximize Desirability option from the red triangle next to Prediction Variance Profile. JMP uses a desirability function that maximizes the relative prediction variance. The value of the Variance in the Prediction Variance Profile is the worst (least desirable from a design point of view) value of the relative prediction variance.
Prediction Variance Profile Showing Maximum Variance for Three Designs
Prediction Variance Profile Showing Maximum Variance for Three Designs shows the Prediction Variance Profile after Maximize Desirability was selected for the three designs constructed in Designs of Different Run Sizes. As expected, the maximum relative prediction variance decreases as the run size increases. The plot also shows values of the factors that give this worst-case relative variance. However, keep in mind that many settings can lead to this same maximum relative variance.

Help created on 9/19/2017