highly significantp < 0.0001
The resulting regression equation is as follows: (1) Y = 80.03 + 11.13 A − 0.6750 B − 9.75 C − 0.125 AB + 1.93 AC − 3.43 BC − 7.41 A 2 − 1.76 B 2 − 11.61 C 2 According to the analysis of variance results ( Table 3 ), the model was highly significant ( p < 0.0001), while the lack-of-fit term was not significant ( p = 0.1019 > 0.05), indicating that the model was well-fitted.