Table 11 Statistical parameters and regression models for SC(G).
Property | Model | Equation | R | \(R^2\) | SE | F | p-value |
|---|---|---|---|---|---|---|---|
BP | Linear | \(y = 301.4839 + 21.5562(TI)\) | 0.934 | 0.872 | 19.321 | 102.152 | 0.000 |
Cubic | \(y = 433.5580 -3.8640(TI) + 1.4454(TI)^2 -0.0248(TI)^3\) | 0.935 | 0.875 | 80.065 | 30.224 | 0.000 | |
EV | Linear | \(y = 51.8055 + 2.9613(TI)\) | 0.903 | 0.815 | 3.303 | 65.948 | 0.000 |
Cubic | \(y = 81.0224 -1.6466(TI) + 0.2006(TI)^2 -0.0025(TI)^3\) | 0.915 | 0.837 | 12.991 | 22.182 | 0.000 | |
FP | Linear | \(y = 132.9067 + 13.3218(TI)\) | 0.941 | 0.886 | 11.186 | 116.394 | 0.000 |
Cubic | \(y = 101.1455 + 18.7153(TI) -0.2632(TI)^2 + 0.0038(TI)^3\) | 0.942 | 0.887 | 46.658 | 33.922 | 0.000 | |
MR | Linear | \(y = -0.3303 + 7.2842(TI)\) | 0.991 | 0.981 | 2.364 | 779.329 | 0.000 |
Cubic | \(y = -3.8063 + 7.0588(TI) + 0.0669(TI)^2 -0.0020(TI)^3\) | 0.991 | 0.983 | 9.410 | 249.576 | 0.000 | |
SA | Linear | \(y = 17.6272 + 6.4778(TI)\) | 0.788 | 0.621 | 11.825 | 24.626 | 0.000 |
Cubic | \(y = 192.9365 -22.0773(TI) + 1.3102(TI)^2 -0.0175(TI)^3\) | 0.852 | 0.726 | 42.144 | 11.469 | 0.001 | |
MV | Linear | \(y = -5.4505 + 20.4320(TI)\) | 0.977 | 0.955 | 10.382 | 317.822 | 0.000 |
Cubic | \(y = 52.7214 + 7.3029(TI) + 0.8633(TI)^2 -0.0167(TI)^3\) | 0.978 | 0.956 | 42.893 | 94.442 | 0.000 | |
P | Linear | \(y = 0.3909 + 2.8599(TI)\) | 0.989 | 0.978 | 1.003 | 667.601 | 0.000 |
Cubic | \(y = -7.8689 + 4.1387(TI) -0.0539(TI)^2 + 0.0006(TI)^3\) | 0.990 | 0.981 | 3.954 | 218.013 | 0.000 |
