Barely Significant

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highly significantp < 0.00010.0× alphaqualifiedgold
Based on the results, it showed that the model is highly significant when the computed F -value is greater than the tabulated F -value and the probability value is low ( p < 0.0001), indicating that the individual terms in each response model were significant on the interaction effect.
highly significantp < 0.00010.0× alphaqualifiedgold
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.
highly significantp < 0.00010.0× alphaqualifiedgold
Highly significant main effects of cell line (F = 428.7, p < 0.0001), ICG concentration (F = 312.4, p < 0.0001), and time after irradiation (F = 189.6, p < 0.0001), a significant line × concentration interaction (F = 67.3, p < 0.0001) confirmed the difference in sensitivity.