Table 2.
ANOVA test for the second-order polynomial model.
| Sum of Squares | df | Mean Squares | F-Value | p-Value | |
|---|---|---|---|---|---|
| Model | 716.2 | 9 | 79.6 | 83.3 | <0.0001 * |
| A-A | 37.6 | 1 | 37.6 | 39.4 | 0.0004 * |
| B-B | 58.8 | 1 | 58.8 | 61.6 | 0.0001 * |
| C-C | 32.7 | 1 | 32.7 | 34.2 | 0.0006 * |
| AB | 165.4 | 1 | 165.4 | 173.2 | <0.0001 * |
| AC | 4.0 | 1 | 4.0 | 4.2 | 0.0795 |
| BC | 222.2 | 1 | 222.2 | 232.7 | <0.0001 * |
| A2 | 0.3 | 1 | 0.3 | 0.3 | 0.6190 |
| B2 | 187.2 | 1 | 187.2 | 196.0 | <0.0001 * |
| C2 | 3.3 | 1 | 3.3 | 3.4 | 0.1073 |
| Residual | 6.7 | 7 | 1.0 | ||
| Lack-of-fit | 1.9 | 3 | 0.6 | 0.5 | 0.677 |
| Pure error | 4.7 | 4 | 1.2 | ||
| Cor total | 722.8 | 16 | |||
| Standard deviation | 0.9772 | R2 | 0.9908 | ||
| Mean value | 18.09 | adjusted R2 | 0.9789 | ||
| CV % | 5.40 | predicted R2 | 0.9468 | ||
| Adequate precision | 27.1 | ||||
A—treatment time; B—liquid-to-solid ratio; C—treatment temperature; df—degree of freedom; Cor total—corrected total sum of squares; *—statistically significant value (p < 0.05).