highly significantp < 0.0001
Multiple regression analysis of the experimental data yielded the following second-order polynomial equation (Equation (1)), which describes the relationship between the response variable and the independent variables: (1) Oil yield (%) = 33.84 + 0.5783A + 0.8342B + 0.4008C + 0.8633D + 0.5550AB + 0.2425AC + 0.1675AD + 0.6150BC − 0.2725BD + 0.2550CD − 2.08A 2 − 1.31B 2 − 2.09C 2 − 1.32D 2 As shown in Table 3 , the regression model was highly significant ( p < 0.0001), while the lack-of-fit test was not significant ( p > 0.05), indicating that the model is statistically valid and well-fitted to the experimental data.