TABLE 3.
Analysis of variance (ANOVA) for Box–Behnken design.
| Sources | Sum of squares | df | Mean square | F-value | P-value | |
| Model | 2667.78 | 9 | 296.42 | 34.47 | <0.0001 | *** |
| A | 81.09 | 1 | 81.09 | 9.43 | 0.0180 | * |
| B | 780.92 | 1 | 781.92 | 90.82 | <0.0001 | *** |
| C | 853.05 | 1 | 853.05 | 99.21 | <0.0001 | *** |
| AB | 12.74 | 1 | 12.74 | 1.48 | 0.2629 | − |
| AC | 150.43 | 1 | 150.43 | 17.49 | 0.0041 | *** |
| BC | 50.98 | 1 | 50.98 | 5.93 | 0.0451 | * |
| A2 | 729.17 | 1 | 729.17 | 84.80 | <0.0001 | *** |
| B2 | 17.14 | 1 | 17.14 | 1.99 | 0.2008 | − |
| C2 | 0.0177 | 1 | 0.0177 | 0.0021 | 0.9651 | − |
| Residual | 60.19 | 7 | 8.60 | − | − | − |
| Lack of Fit | 26.91 | 3 | 8.97 | 1.08 | 0.4532 | − |
| Pure Error | 33.28 | 4 | 8.32 | − | − | − |
| Cor Total | 2727.97 | 16 | − | − | − | − |
| R2 = 0.9779 AdjR2 = 0.9496 Adeq Precision = 20.0481 C.V.% = 0.9865 | ||||||
*Significant at 0.01 < p < 0.05, and ***significant at p < 0.001.