highly significantp < 0.0001
Fitting the Mathematical Models Highly significant second-order polynomial models ( p < 0.0001) with an insignificant lack-of-fit were satisfactorily fitted to predict the independent variables based on the multiple linear regression analysis of the experimental data ( Table 2 ).