Table 7.
Model Summary Statistics | |||||
---|---|---|---|---|---|
Source | SD | R2 | Adjusted R2 | Predicted R2 | PRESS |
Linear | 9.60 | 0.1255 | −0.0384 | −0.2648 | 2130.67 |
2FI | 10.48 | 0.1525 | −0.2386 | −1.1963 | 3699.77 |
Quadratic | 2.25 | 0.9700 | 0.9430 | 0.8110 | 318.46 |
Lack of Fit Tests | |||||
Source | SS | Df | MS | F- value | P- value |
Linear | 1460.75 | 11 | 132.80 | 53.87 | 0.0002 |
2FI | 1415.28 | 8 | 176.91 | 71.76 | <0.0001 |
Quadratic | 38.22 | 5 | 7.64 | 3.10 | 0.1199 |
Pure Error | 12.33 | 5 | 2.47 | ||
Sequential Model Sum of Squares | |||||
Linear vs Mean | 211.46 | 3 | 70.49 | 0.77 | 0.5298 |
2FI vs Linear | 45.47 | 3 | 15.16 | 0.14 | 0.9355 |
Quadratic vs 2FI | 1377.06 | 3 | 459.02 | 90.81 | <0.0001 |
Residual | 14.53 | 6 | 2.42 |
“*Significant values, df: degree of freedom, PRESS: sum of squares of prediction error, 2FI: two factors interaction, SD: Standard deviation, SS: Sum of Squares, MS: Mean Square”.