Use Minitab's Response Optimizer to help identify the variable settings that optimize a single response or a set of responses. For multiple responses, the requirements for all the responses in the set must be satisfied.

Response optimization is often useful in product development when you need to determine operating conditions that will result in a product with desirable properties. For example, you may need to determine settings that optimize several properties of a product, such as its elasticity and puncture resistance.

A cereal company is investigating the effectiveness of a TV advertisement for a new product called Cocoa Crunch. After showing the advertisement in a particular community for one week, they randomly sampled seventy-one adults exiting a local supermarket.

They were asked:

·    whether or not they bought Cocoa Crunch (Bought)

·    their household income (in thousands of dollars) (Income)

·    whether or not they had children (Children)

·    whether or not they viewed the advertisement (ViewAd)

Data: CerealAd.MTW (available in the Sample Data folder).