Question 1: Random factors in DOE from @Stats_Like_Jazz
Comments:
@Victor_G
1. The use of random effects in the model enable to explain a part of the total variance, which is attributed to the random effect. This then may enable to have a better R²
2. You could use Operator as a random effect, and also use "Quality and Process" platforms (MSA, Control Charts, ...) to evaluate and visualize influence of operator (on the mean response and variance)
@Steph_Georges
Additional info about Blocking when designing experiments: https://community.jmp.com/t5/Mastering-JMP/Using-Blocking-When-Designing-Experiments/ta-p/277697
@ptolomey
1. Can you please show how to use "Reliability Life testing" platform to determine sample size for Reliability experiments?
2. Find out an energy activation parameter for Arrhenius model
@WeightedMouse47
What was the original purpose of the experiment?
@Jonas_Rinne
Was it a logistic regression model? Since you said pass/fail?
@Victor_G
Maybe there are other y's that could be linked to this PASS/FAIL Y response, and be used as proxy with more information (continuous responses for example) ?
There are too many terms for the model I think
@jszarka
It's pretty clear from your studentized residuals by row number that the last set of 6 and the 6 before it is distinctly different.
That will be attributed to your Whole Plot effect.
@KimRas2
There is definitely a pattern in your residuals, Christian.
