Table 10.
Fit summary for experimental data
| Sequential Model Sum of Squares | |||||
| Source | Sum of Squares | df | Mean Square | F-value | P-value (Prob > F) |
| Linear vs Mean | 47.829 | 3 | 15.943 | 0.785 | 0.5194 |
| Two factors interaction (2FI) vs Linear | 10.748 | 3 | 3.583 | 0.148 | 0.9289 |
| Quadratic vs 2FI | 306.352 | 3 | 102.117 | 132.900 | <0.0001* |
| Residual | 2.226 | 6 | 0.371 | ||
| Lack of Fit Tests | |||||
| Source | Sum of Squares | df | Mean Square | F-value | P-value (Prob > F) |
| Linear | 324.750 | 11 | 29.523 | 4498.259 | <0.0001* |
| Two factors interaction (2FI) | 314.003 | 8 | 39.250 | 5980.409 | <0.0001* |
| Quadratic | 7.651 | 5 | 1.530 | 233.149 | <0.0001* |
| Pure Error | 0.033 | 5 | 0.007 | ||
| Model Summary Statistics | |||||
| Source | Standard deviation | R-Squared | Adjusted R-Squared | Predicted R-Squared | PRESS |
| Linear | 4.505 | 0.128 | −0.035 | −0.277 | 475.939 |
| Two factors interaction (2FI) | 4.915 | 0.157 | −0.232 | −0.826 | 680.540 |
| Quadratic | 0.877 | 0.979 | 0.961 | 0.843 | 58.334 |
df : degree of freedom, PRESS: sum of squares of prediction error
* Significant values