I recently started using Design-Expert. I've entered the response data (response = rejection rate(%)) and have obtained a model equation (the chosen model is a quadratic model, and the ANOVA test indicates that the model is significant). However, when I use the obtained equation to predict a rejection rate using different factors values I get rejection rates > 100%, which is logically incorrect. Is there any way to impose constraints to get a predicted response between 0 and 100% ? Thank you.
Ps: For the prediction, the chosen factors values are included in the chosen [-1 level; +1 level], and I've chosen a constant value which corresponds to the +1 level for one of the factors.
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