nav[aria-label="Primary Navigation"] { padding: 0; & ul { list-style: none; width: 100%; display: flex; flex-direction: row; justify-content: start; align-items: start; gap: 30px; padding: 0; & li { margin: 0; } & ul li { list-style: none; } } }

532406_en-US

liliconcom

How do I deal with lack of fit data if they actually looking good in the surdface profiler and actual by predicted plot

Dear JMP Pros,

I have a dataset (See attachment) with two discrete factors (X_1 and X_2) and after model running, the fit looks good in the actual by predicted as well as in the surface profiler. However, I have a significant lack of fit here.

I am wondering what the reason is here and how do I deal with this dataset? Can I still use and believe the fit? Please note, that I had to use the discrete set of factors here instead of an textbook DoE.

Thanks for your help here,

Best regards,

Simon

Analytics

DOE

Comments

There are no comments yet

Quick Links

All Categories
Recent Posts
Activity
Unanswered
Groups
Help
Best Of