Table 3.
ANOVA for Response Surface Quadratic Model
| Source | Sum of squares | df | Mean square | F-value | p-value |
| Model | 1.205E+005 | 14 | 8609.99 | 820.46 | < 0.0001 |
| A-Glucose | 3675.00 | 1 | 3675.00 | 350.20 | < 0.0001 |
| B-Yeast extract | 2790.75 | 1 | 2790.75 | 265.94 | < 0.0001 |
| C-MgSO4 | 1140.75 | 1 | 1140.75 | 108.70 | < 0.0001 |
| D-pH | 69008.33 | 1 | 69008.33 | 6575.95 | < 0.0001 |
| AB | 6.25 | 1 | 6.25 | 0.60 | 0.4531 |
| AC | 0.25 | 1 | 0.25 | 0.024 | 0.8795 |
| AD | 256.00 | 1 | 256.00 | 24.39 | 0.0002 |
| BC | 324.00 | 1 | 324.00 | 30.87 | < 0.0001 |
| BD | 1024.00 | 1 | 1024.00 | 97.58 | < 0.0001 |
| CD | 16.00 | 1 | 16.00 | 1.52 | 0.2372 |
| A2 | 274.05 | 1 | 274.05 | 26.12 | 0.0002 |
| B2 | 30325.24 | 1 | 30325.24 | 2889.76 | < 0.0001 |
| C2 | 13950.10 | 1 | 13950.10 | 1329.33 | < 0.0001 |
| D2 | 555.00 | 1 | 555.00 | 52.89 | < 0.0001 |
| Residual | 146.92 | 14 | 10.49 | ||
| Lack of fit | 146.92 | 10 | 14.69 | ||
| Pure error | 0.000 | 4 | 0.000 | ||
| Cor total | 1.205E+005 | 28 | |||
| Standard deviation | 3.24 | R-squared | 0.9988 | ||
| Mean | 465.38 | Adjusted R-squared | 0.9976 | ||
| Coefficient of variation (C.V.%) | 0.70 | Predicted R-squared | 0.9930 | ||
| PRESS | 846.24 | Adequate precision | 121.595 | ||