Table 10 Statistical parameters and regression models for RI(G).
Property | \(\text {Model}\) | \(\text {Equation}\) | R | \(R^2\) | \(S_E\) | F | \(p\text {-value}\) |
|---|---|---|---|---|---|---|---|
BP | Linear | \(y = 300.7387 + 22.4485\,(\textrm{TI})\) | 0.930 | 0.864 | 20.056 | 95.447 | 0.000 |
Cubic | \(y = 434.9741 - 3.6985\,(\textrm{TI}) + 1.5072\,(\textrm{TI})^2 - 0.0263\,(\textrm{TI})^3\) | 0.931 | 0.867 | 89.558 | 28.204 | 0.000 | |
EV | Linear | \(y = 51.6588 + 3.0869\,(\textrm{TI})\) | 0.899 | 0.809 | 3.381 | 63.521 | 0.000 |
Cubic | \(y = 83.2309 - 2.0623\,(\textrm{TI}) + 0.2323\,(\textrm{TI})^2 - 0.0030\,(\textrm{TI})^3\) | 0.913 | 0.833 | 14.266 | 21.568 | 0.000 | |
FP | Linear | \(y = 132.4505 + 13.8729\,(\textrm{TI})\) | 0.937 | 0.878 | 11.659 | 107.856 | 0.000 |
Cubic | \(y = 97.0749 + 20.4632\,(\textrm{TI}) - 0.3605\,(\textrm{TI})^2 + 0.0060\,(\textrm{TI})^3\) | 0.937 | 0.879 | 52.435 | 31.351 | 0.000 | |
MR | Linear | \(y = -1.1125 + 7.6207\,(\textrm{TI})\) | 0.991 | 0.981 | 2.366 | 790.034 | 0.000 |
Cubic | \(y = -17.5766 + 10.0587\,(\textrm{TI}) - 0.0909\,(\textrm{TI})^2 + 0.0007\,(\textrm{TI})^3\) | 0.992 | 0.983 | 10.061 | 257.319 | 0.000 | |
SA | Linear | \(y = 17.1517 + 6.7625\,(\textrm{TI})\) | 0.787 | 0.619 | 11.958 | 24.366 | 0.000 |
Cubic | \(y = 208.1255 - 25.5285\,(\textrm{TI}) + 1.5448\,(\textrm{TI})^2 - 0.0216\,(\textrm{TI})^3\) | 0.855 | 0.731 | 45.345 | 11.748 | 0.001 | |
MV | Linear | \(y = -8.2326 + 21.4148\,(\textrm{TI})\) | 0.979 | 0.959 | 10.024 | 347.733 | 0.000 |
Cubic | \(y = 12.1001 + 15.5364\,(\textrm{TI}) + 0.4626\,(\textrm{TI})^2 - 0.0102\,(\textrm{TI})^3\) | 0.979 | 0.959 | 44.797 | 102.350 | 0.000 | |
P | Linear | \(y = 0.0795 + 2.9923\,(\textrm{TI})\) | 0.989 | 0.978 | 1.001 | 681.344 | 0.000 |
Cubic | \(y = -14.0025 + 5.5056\,(\textrm{TI}) - 0.1301\,(\textrm{TI})^2 + 0.0020\,(\textrm{TI})^3\) | 0.991 | 0.982 | 4.140 | 234.627 | 0.000 |
