Table 6 Statistical parameters and regression models for H(G).
Property | Models | Equations | R | \(R^2\) | \(S_E\) | F | \(p\text {-value}\) |
|---|---|---|---|---|---|---|---|
BP | Linear | \(y = 295.5007 + 23.8084(TI)\) | 0.930 | 0.864 | 20.365 | 95.519 | 0.000 |
| Â | Cubic | \(y = 477.0067 -12.5013(TI) + 2.1391(TI)^2 - 0.0382(TI)^3\) | 0.933 | 0.870 | 90.127 | 28.938 | 0.000 |
EV | Linear | \(y = 51.1998 + 3.2558(TI)\) | 0.895 | 0.800 | 3.512 | 60.063 | 0.000 |
Cubic | \(y = 91.0198 -3.7559(TI) + 0.3466(TI)^2 - 0.0049(TI)^3\) | 0.912 | 0.833 | 14.522 | 21.555 | 0.000 | |
FP | Linear | \(y = 129.2131 + 14.7134(TI)\) | 0.937 | 0.878 | 11.839 | 107.949 | 0.000 |
Cubic | \(y = 121.4072 + 16.5483(TI) - 0.1271(TI)^2 + 0.0026(TI)^3\) | 0.937 | 0.878 | 53.478 | 31.194 | 0.000 | |
MR | Linear | \(y = -3.1138 + 8.0977(TI)\) | 0.993 | 0.985 | 2.142 | 999.014 | 0.000 |
Cubic | \(y = -8.4237 + 8.6875(TI) - 0.0018(TI)^2 - 0.0006(TI)^3\) | 0.993 | 0.986 | 9.479 | 300.899 | 0.000 | |
SA | Linear | \(y = 17.8465 + 7.0155(TI)\) | 0.770 | 0.592 | 12.564 | 21.789 | 0.000 |
Cubic | \(y = 216.2223 -28.1336(TI) + 1.7549(TI)^2 - 0.0254(TI)^3\) | 0.846 | 0.716 | 47.398 | 10.909 | 0.001 | |
MV | Linear | \(y = -13.6892 + 22.7438(TI)\) | 0.981 | 0.961 | 9.834 | 373.837 | 0.000 |
Cubic | \(y = 38.2428 + 10.8705(TI) + 0.8029(TI)^2 - 0.0163(TI)^3\) | 0.981 | 0.962 | 44.147 | 109.428 | 0.000 | |
P | Linear | \(y = -0.7456 + 3.1823(TI)\) | 0.992 | 0.984 | 0.877 | 920.280 | 0.000 |
Cubic | \(y = -10.0585 + 4.9513(TI) - 0.0977(TI)^2 + 0.0016(TI)^3\) | 0.993 | 0.985 | 3.791 | 290.754 | 0.000 |
