Hi,
Under the Design Evaluation (after the DOE is created), there is a tab called Power Analysis per below photo.
![Picture1.png Picture1.png](https://community.jmp.com/t5/image/serverpage/image-id/11810iA73DCC90DE9C6975/image-size/large?v=v2&px=999)
I understood the Power represents the probability of detecting a significant effect (if there is). For example here, this design have a probability of 57.2% to detect effect of X1 if it is a significant effect.
My questions:
1. Understood the Coefficient is the "slope" or effect strength on the response. This is represented under column Anticipated Coefficient. Why does this value is being put as default "1" ?
2. For example, if I were to change X1 Anticipated Coefficient from "1 to 2", the Power will jump from 57.2% to 98.4%. Am I correct to say, if X1 slope is "2" then this design have the probability to detect this effect at 98.7%?
3. Does the Power Analysis takes into account the Scaling Factor? Having a slope of 0.0002 doesn't mean there aren't any strong correlation between Y and X.
For example : The X-axis data is recorded in nanometer instead of meter.
Thanks for advise.
B.r,
Chris Looi