Understanding Prediction Profiler Results Of Full Factorial With All Main Effects In ModelHello All,
I have a data set that is a full factorial of 3 categorial independent variables and 1 continuous dependent variable. This was not a designed test and contains no repeated data points. The Standard Least Squares model that I'd like to use contains all 3 main effects and 1 2-way interaction. My concern with the prediction profiler is that it is producing confidence intervals based on a sample size of 1 for each treatment. Are these intervals still okay to use based on how JMP looks at each main effect separately and the data set as a whole? Should I only look at the predicted value and ignore the confidence intervals? Is there a better approach that I should be using with this dataset? Thanks in advance!
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