Dear JMP community,
Can you observe non-linear effects in a full factorial design?
After analyses, a value ( AGC%) was found to have no significant influence on a Y variable (Total number of features).
After maximising desirability, a value of 1000 was recommended for AGC.
However, when I look at the points and plot them on a curve, they come close to a quadratic effect (which could lead to the non-significant influence on that Y variable when assuming it is a linear effect). This has also an effect on the outcome, as based on the points at the curve, I would not select 1000% but a value between 400-600% for AGC target.
Now my question is whether these quadratic effects can also be represented in a full factorial design or other screening designs, so that they can be taken into account when calculating the significance and illustrating the desirability?
Thanks in advance!
Extra information:
![K_JMP_2-1712933596461.png K_JMP_2-1712933596461.png](https://community.jmp.com/t5/image/serverpage/image-id/63294i2599C4B2BF638DC6/image-dimensions/274x174?v=v2)
![K_JMP_1-1712933275868.png K_JMP_1-1712933275868.png](https://community.jmp.com/t5/image/serverpage/image-id/63293i56CCD95701BE08CA/image-dimensions/190x173?v=v2)