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How do I get prediction formula as DOE design using Fit model in analyze

Hello,

I made a experimental design manually and paste it into JMP table instead of using DOE design tool available in JMP.

After adding all required response, I ran fit model to analyze the data and get a model formula. I constructed model effects using response surface in Macros.

After running, I checked the formula but that is not in the form as I expected.

For example, I set temperature range between 100 and 140 with the center point 120. So this level can be coded between -1 and 1 by (temperature-120)/20.

I expected that I will get the prediction equation in the coded form but what I got is the formula with different constant. Could you please let me know how to solve this issue? Thank you for all your help!

Best regards,

Analytics

DOE

Re: How do I get prediction formula as DOE design using Fit model in analyze

First, welcome to the forum. Second, if you can attach your JMP file to your post, that is helpful to us (you can anonymize it).

When you run fit model, JMP will analyze the data (coded in the background) and then transform the beta coefficients back to the original level setting in your table. If you want a coded model, you should code the levels before you run fit model. Coding should be equi-distant centered on 0 e.g., -1,1 for a 2 level factor, -1,0,-1 for a three level factor)

Re: How do I get prediction formula as DOE design using Fit model in analyze

Hello,

Thank you for providing me with great explanation.

I am still confused. So, is the transformation of the beta coefficient back to the original level valid when I design the experiment using DOE tool?

I attached my file and prediction expression captured. Left one is expression when I used DOE tool and right one is what I got with the manually designed experimental run.