Use Overlaid Contour Plot to visually identify an area where the predicted means of one or more response variables are in an acceptable range. Applications that involve multiple responses present a different challenge than single response studies. Optimal variable values for one response may be far from optimal for another response. Overlaid contour plots allow you to visually identify an area of compromise among the various responses.
For more information, go to What is an overlaid contour plot?.
For example, analysts at a solar energy company want to optimize two responses: Heat flux and Insolation. Increasing the solar radiation that the focal points receive (Insolation) also tends to increase the heat flux. The analysts previously fit models that describe the relationship between the focal points and the two responses. The analysts use the overlaid contour plot to identify settings where the focal points receive a sufficient amount of solar radiation but do not generate excessive heat.
This analysis uses a model that you fit and that Minitab automatically stores in your worksheet. For more information, go to Stored model overview.
Use the version of this analysis that corresponds to the type of model you fit.
Type of model | Version of overlaid contour plot |
---|---|
Regression | |
Binary logistic regression | |
Poisson regression | |
General linear model | |
Screening design | |
Factorial design | |
Response surface design | |
Mixture design |