The sections below will be empty until at least one model has been fit to a response.
Point prediction allows the analyst to set the factor values. The models are used to provide the predictions and interval estimates.
Confirmation compares the prediction interval of the model to a follow up sample’s average. If the samples average is inside the prediction interval then the model is confirmed. Confirmation is usually done at or near factor settings recommended by numerical optimization.
Coefficients Table shows the coefficient magnitudes and significance for all analyzed responses. It is color coded by significance. Makes it easy to see what terms are common to all the response models.