Hello.
I know a similar question was asked before, but please help me to apply this to my model:
1. test two regressions - A versus B and A versus C (similar observations n=1242)
2. Model A versus B has an higher Rsquare and seems to have a better correlation - but a Lack of fit < 0.05
3. Model A versus C has a lower Rsquare and sems to have a bit less correlation - but a lack of fit > 0.05
4. The residual plot looks quite similar.
For the actual full result please see also my attached PDF.
My question: Do I have to disregard Model A versus B and conclude that A versus C is better and more appropriate for my analysis ?
![Screenshot (11).png Screenshot (11).png](https://community.jmp.com/t5/image/serverpage/image-id/6166i958194694FAF8123/image-size/large?v=v2&px=999)