Overview for Analyze Binary Response for Response Surface Design

Use Analyze Binary Response for Response Surface Design to model curvature in your data and identify factor settings that optimize the binary response. Usually, you use a response surface design after you have conducted a factorial or fractional factorial experiment and have identified the most important factors in your process. For more information, go to What are response surface designs, central composite designs, and Box-Behnken designs?.

Before you can analyze your data, you must use Create Response Surface Design (Central Composite), Create Response Surface Design (Box-Behnken) or Define Custom Response Surface Design to enter or define your design. You also need to have response data in the worksheet. Response data should be organized in two columns in your worksheet. One column contains the number of successes or events of interest and one column that contains the number of trials.

For example, an engineer wants to analyze a qualitative attribute of a plastic part from an injection molding process. After performing a fractional factorial design to identify the important factors (temperature, pressure, cooling rate), the engineer uses a response surface design to analyze curvature in the data and find the best factor settings.

After you analyze the design, Minitab stores the model so that you can do the following:
  • Predict responses for different factor settings.
  • Plot the relationships between the factors and the response.
  • Find settings that optimize one or more responses.

Where to find this analysis

Stat > DOE > Response Surface > Analyze Binary Response

When to use an alternate analysis

If you have a continuous response variable, use Analyze Response Surface Design.