Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
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.
highly significantP <0.0010.0× alphaqualifiedgold
The average number of nominations was similar across the generations and by geographical area, but increased with higher socioeconomic status (2.9 for the highest, 2.3 for the lowest) and was greatest for women aged 45–54 years (3.0) and less at younger and older ages than this (e.g., 2.2 for ages 16–24; 1.9 for age 65 and older) (these differences are highly significant, P <0.001).