Table 3.
Reparameterized Regression Model* | R2 | Fcal | Ftab | Sum of squares | Degree of freedom | Mean square | |
---|---|---|---|---|---|---|---|
TPC | TPC = 719.42 + 405.52x1 + 20.86x12 − 12.10x2 − 276.35x22 + 3.02x1x1 | 89% | 49.84 | 4.39 | |||
Regression | 1.800.374 | 5 | 1.800.374 | ||||
Residual | 216.636 | 6 | 36.106 | ||||
Total | 2.051.725 | 11 | |||||
ABTS | ABTS = 1,728.68 + 2771.36x1 + 2108.40x12 | 70% | 21.62 | 4.26 | |||
Regression | 90.615.769 | 2 | 90.615.769 | ||||
Residual | 37.698.340 | 9 | 4.188.704 | ||||
Total | 128.314.109 | 11 | |||||
ORAC | ORAC = 7323.20 + 2913.03x1 − 2080.33x22 + 1186.60x1x2 | 70% | 28.00 | 4.00 | |||
Regression | 101.894.516 | 3 | 101.894.516 | ||||
Residual | 29.069.510 | 8 | 3.633.689 | ||||
Total | 130.964.026 | 11 |
Reparameterized models include regression coefficients statistically significant at p < 0.05.