highly significantP <0.0001
Using multiple regression analysis on the experimental data, the predicted response Y can be obtained by the following second-order polynomial equation: (3) Y = + 53.62 + 5.45 X 1 − 2.47 X 2 + 1.47 X 3 + 4.70 X 1 X 2 + 2.40 X 1 X 3 − 3.45 X 2 X 3 − 7.69 X 1 2 + 1.42 X 2 2 − 4.24 X 3 2 As shown in Table 2 , ANOVA of the linear regression model demonstrated that the model was highly significant ( P > F , P <0.0001).