Use Response
Optimizer to identify the combination of input variable settings that optimize a single response or a set of responses. Minitab calculates an optimal solution and draws an optimization plot. This interactive plot allows you to change the input variable settings to perform sensitivity analyses and possibly improve upon the initial solution.
For more information, go to What is response optimization?.
This analysis uses a model that you fit and that Minitab stores. For more information, go to
Stored model overview.
Where to find this analysis
Use the version of this analysis that corresponds
to the type of model you fit.
Type of model 
Version of Response
Optimizer 
Regression 

Binary logistic regression 

Poisson regression 

General linear model 

Screening design 

Factorial design 

Response surface design 

Mixture design 

When to use an alternate analysis
 If you have a stored model and want to predict the value of the response variable for combinations of variable settings that you specify, use Predict.
 If you have a stored model and want to plot the main effects and interaction effects with fitted means, use Factorial
Plots.
 If you have a stored model and want to plot the relationship between a fitted response and two continuous variables with contour lines in a twodimensional view, use Contour
Plot.
 If you have a stored model and want to plot the relationship between a fitted response and two continuous variables with a threedimensional response surface, use Surface Plot.
 If you have at least one stored model and want to identify an area where the predicted means of one or more response variables are in an acceptable range, use Overlaid Contour
Plot.