Table 4.
Analysis of the variance (ANOVA) for the second-order polynomial model.
| Source | Sum of Squares | df | Mean Square | F-Value | p-Value |
|---|---|---|---|---|---|
| Model | 321,245.700 | 9 | 35,693.960 | 4.324 | 0.033 * |
| A-Liquid–solid ratio | 189,102.300 | 1 | 189,102.300 | 22.910 | 0.002 ** |
| B-Ultrasonic temperature | 26,581.520 | 1 | 26,581.520 | 3.220 | 0.116 |
| C-Water content | 1026.892 | 1 | 1026.892 | 0.124 | 0.735 |
| AB | 40,495.180 | 1 | 40,495.180 | 4.906 | 0.062 |
| AC | 1970.830 | 1 | 1970.830 | 0.239 | 0.640 |
| BC | 3491.468 | 1 | 3491.468 | 0.423 | 0.536 |
| A2 | 1003.442 | 1 | 1003.442 | 0.122 | 0.738 |
| B2 | 56,581.020 | 1 | 56,581.02 | 6.855 | 0.035 |
| C2 | 2671.865 | 1 | 2671.865 | 0.324 | 0.587 |
| Residual | 57,778.800 | 7 | 8254.114 | ||
| Lack of fit | 44,128.860 | 3 | 14,709.620 | 4.310 | 0.096 |
| Pure error | 13,649.940 | 4 | 3412.484 | ||
| Total | 379,024.500 | 16 | |||
| R-Squared = 0.948 | Std.Dev. = 90.852 | ||||
| Adjusted R-Squared = 0.852 | Mean = 2109 | ||||
| Predicted R-Squared = 0.919 | C.V. % = 4.310 | ||||
| Adequacy precision = 9.190 | |||||
Note: Symbols * and ** represent the significant differences at p < 0.05 and p < 0.01, respectively.