Table 3.
Regression Equation | 1 R2 | 2 R2adj | 3 R2pred |
---|---|---|---|
ln(Y1) = 0.341 + 0.2817 × X1 + 0.1258 × X2 − 0.857 × X3 − 0.01409 × X1 × X1 − 0.00579 × X2 × X2 + 0.1795 × X3 × X3 | 0.9522 | 0.9354 | 0.8849 |
Y2 = 24.35 − 1.017 × X1 + 3.631 × X2 − 0.1831 × X2 × X2 + 0.0861 × X1 × X2 | 0.9907 | 0.9783 | 0.8295 |
Y3 = 328.35 + 16.112 × X1 + 0.722 × X2 − 4.91 × X3 − 0.9844 × X1 × X1 − 0.1092 × X1 × X2 + 0.477 × X2 × X3 | 0.9796 | 0.9723 | 0.9361 |
Y4 = 96.51 − 12.11 × X1 − 4.31 × X2 + 20.96 × X3 + 0.617 × X1 × X1 + 0.285 × X2 × X2 − 4.39 × X3 × X3 | 0.9401 | 0.9190 | 0.8581 |
Y5 = 68.08 − 12.19 × X1 − 3.41 × X2 + 21.78 × X3 + 0.691 × X1 × X1 + 0.238 × X2 × X2 − 3.91 × X3 × X3 − 0.808 × X2 × X3 | 0.9495 | 0.9275 | 0.8681 |
Y6 = 0.1409 + 0.1159 × X1 − 0.0559 × X3 − 0.006207 × X1 × X1 | 0.9459 | 0.9378 | 0.9082 |
1 Coefficient of determination; 2 Adjusted coefficient of determination; 3 Predicted coefficient of determination.