Table 12 Statistical parameters and regression models for SA(G).
Property | \(\text {Model}\) | \(\text {Equation}\) | R | \(R^2\) | \(S_E\) | F | \(p\text {-value}\) |
|---|---|---|---|---|---|---|---|
BP | Linear | \(y = 303.2454 + 10.1581\,(\textrm{TI})\) | 0.938 | 0.879 | 18.078 | 109.166 | 0.000 |
Cubic | \(y = 427.2545 - 1.5763\,(\textrm{TI}) + 0.3272\,(\textrm{TI})^2 - 0.0027\,(\textrm{TI})^3\) | 0.939 | 0.882 | 65.335 | 32.304 | 0.000 | |
EV | Linear | \(y = 52.0214 + 1.3963\,(\textrm{TI})\) | 0.907 | 0.822 | 3.116 | 69.450 | 0.000 |
Cubic | \(y = 78.1633 - 0.5668\,(\textrm{TI}) + 0.0407\,(\textrm{TI})^2 - 0.0002\,(\textrm{TI})^3\) | 0.917 | 0.841 | 10.770 | 22.903 | 0.000 | |
FP | Linear | \(y = 134.0183 + 6.2771\,(\textrm{TI})\) | 0.945 | 0.893 | 10.432 | 125.174 | 0.000 |
Cubic | \(y = 102.8677 + 8.5626\,(\textrm{TI}) - 0.0456\,(\textrm{TI})^2 + 0.0003\,(\textrm{TI})^3\) | 0.946 | 0.895 | 37.819 | 36.773 | 0.000 | |
MR | Linear | \(y = 0.8885 + 3.4138\,(\textrm{TI})\) | 0.989 | 0.978 | 2.431 | 681.613 | 0.000 |
Cubic | \(y = 5.8356 + 2.4596\,(\textrm{TI}) + 0.0399\,(\textrm{TI})^2 - 0.0004\,(\textrm{TI})^3\) | 0.990 | 0.981 | 8.388 | 221.224 | 0.000 | |
SA | Linear | \(y = 17.7509 + 3.0648\,(\textrm{TI})\) | 0.795 | 0.632 | 11.237 | 25.721 | 0.000 |
Cubic | \(y = 179.4027 - 9.4667\,(\textrm{TI}) + 0.2735\,(\textrm{TI})^2 - 0.0017\,(\textrm{TI})^3\) | 0.852 | 0.726 | 35.378 | 11.499 | 0.001 | |
MV | Linear | \(y = -1.5252 + 9.5605\,(\textrm{TI})\) | 0.974 | 0.949 | 10.605 | 280.989 | 0.000 |
Cubic | \(y = 80.6425 + 0.9516\,(\textrm{TI}) + 0.2629\,(\textrm{TI})^2 - 0.0024\,(\textrm{TI})^3\) | 0.975 | 0.951 | 37.903 | 84.972 | 0.000 | |
P | Linear | \(y = 0.8819 + 1.3399\,(\textrm{TI})\) | 0.987 | 0.975 | 1.034 | 581.083 | 0.000 |
Cubic | \(y = -3.4629 + 1.5614\,(\textrm{TI}) - 0.0010\,(\textrm{TI})^2 - 0.0000\,(\textrm{TI})^3\) | 0.989 | 0.977 | 3.585 | 186.649 | 0.000 |
