Dear JMP staffs and users!
I'm an undergraduate student and in my process to do a research. I have some problems with result analysis. I used RSM (classical design) to optimize my response with a matrix including 3 independent variables. To increase confidence level, I added 1 replicate in my design, so the matrix included 40 runs. Then I started to analyze the results from experimental matrix design, my R2 value is 96% and Pvalue <0.001 but P lack of fit value is significant. In another way, I didn't show replicate in my design, but each run was still replicated 1 time and calculated mean value. Then, my R2 and Pvalue are not changed and P lack of fit value is not significant. Therefore, I want to know what is the right way to analyze the results?
I am looking forward to your responses.
Best regard!
