highly significantp < 0.0001
The optimal polynomial model was identified based on several selection criteria, including the use of a higher-order model, low standard deviation, a non-significant lack-of-fit ( p > 0.05), a high coefficient of determination (R 2 ), a low predicted residual error sum of squares (PRESS), and a highly significant model p -value ( p < 0.0001).