Fit Model: Square Transformation vs 2nd Order Polynomial
I am using the Fit Model platform in JMP to create a simple standard least squares fit with one model effect. I noticed that using the square transformation on the effect gives a different fit than using the 2nd order polynomial of that effect (after removing the first order term to leave only the 2nd order term). JMP gives a warning about leaving the 1st order term out of the model, but I conti...