highly significantp < 0.001
Effects of Extraction Variables on Antioxidant Activity Following the analysis of ABTS results utilizing RSM, the model showed a highly significant ( p < 0.001) regression represented by the following equation: ABTS = 330.8855 + 58.5485 * X 1 − 84.9180 * X 1 2 + 99.5563 * X 2 + 3.3621 * X 2 2 + 22.9206 * X 3 − 12.0931 * X 3 2 + 27.1134 * X 12 − 12.7727 * X 13 + 32.5420 * X 23 (R 2 = 0.93) Overall, the statistical results, as represented by the ANOVA test, the R-squared value (R 2 ), the positive coefficient of regression (β = 330.8855), the low p -value (<0.001), and the high t-value (12.62), confirm a positive relationship between the predictive and experimental variables.