The optimization plot shows how the variables affect the predicted responses and allows you to modify the variable settings interactively.

·    Each column of the graph corresponds to a variable.

·    The top row of the graph corresponds to the composite desirability, if shown. Each remaining row corresponds to a response variable.

·    Each cell of the graph shows how the corresponding response variable or composite desirability changes as a function of one of the factors, while all other variables remain fixed.

·    The numbers displayed at the top of a column show the current variable settings (in red) and the high and low variable settings in the experimental design.

·    At the left of each response row, Minitab shows the goal for the response, the predicted response, y, at the current variable settings, and the individual desirability score.

·    The composite desirability, D, is displayed in the top row and the upper left corner of the graph.

·    The label above the composite desirability refers to the current setting and changes if you move the variable settings interactively. When the optimization plot is created, the label is Optimal. If you change the settings, the label changes to New. If you find a new optimal setting, the label changes to Optimal. If you save the current setting, the label changes to a number to indicate the position in the list of saved settings.

·    The vertical red lines on the graph represent the current settings.

·    The horizontal blue lines represent the current response values.

·    The gray regions indicate settings where the corresponding response has zero desirability.

For the tire data, the current settings are temperature = 466.4962, curing time = 37.3949, and density = 9.3182. The goal was to Target Elasticity at 100.0; its predicted value is 100.0, and its individual desirability is 1.0000. The composite desirability is 1.0000.