Table 6.
Box-Behnken design analysis of variance (ANOVA) for response surface regression model
| Source | Sum of squares | df | Mean square | F value | Prob > F |
|---|---|---|---|---|---|
| Quadratic model | 28.90 | 9 | 3.21 | 2.65 | 0.1475*** |
| A: Glucose | 0.42 | 1 | 0.42 | 0.35 | 0.5795 |
| B: Tween 80 | 7.20 | 1 | 7.20 | 5.95 | 0.0588* |
| C: pH | 5.91 | 1 | 5.91 | 4.89 | 0.0780** |
| AB | 0.53 | 1 | 0.53 | 0.44 | 0.5372 |
| AC | 0.031 | 1 | 0.031 | 0.026 | 0.8787 |
| BC | 9.24 | 1 | 9.24 | 7.64 | 0.0397* |
| A2 | 0.31 | 1 | 0.31 | 0.26 | 0.6341 |
| B2 | 4.11 | 1 | 4.11 | 3.39 | 0.1248 |
| C2 | 1.15 | 1 | 1.15 | 0.95 | 0.3745 |
| Pure error | 0.43 | 2 | 0.22 | ||
| Cor. total | 34.95 | 14 |
R2 = 0.8269, Adj. R2 = 0.5153, Adeq. Precision = 6.318
*Significant at 95 %
**Significant at 90 %
***Significant at 85 %