Just a little bit of final exploration before we go ahead with our final model with our best correlation value that we had obtained.
I just wanted to test if it was possible to get a better fit by increasing the complexity of the model, just by trying this for diabetes and obesity, I would check for the P values to see if any of them were significant,
Thus we can see here, that all except the power 2 have the p values of not much significance and hence can be rejected, they are all clearly too high and the quadratic being the lowest.
This all coincides with our study so far the latest model we have built with quadratic models of obesity and inactivity.