Table 4. ANOVA for response surface quadratic model for checking model suitability.
ANOVA | Sum of Squares | DF | Mean Square | F Value | p-value | - |
---|---|---|---|---|---|---|
Model | 1469.738 | 5 | 293.9476 | 17.50292 | 0.0008 | Significant |
X1-Lipid concentration | 1229.791 | 1 | 1229.791 | 73.22715 | < 0.0001 | - |
X2-Soy lecithin concentration | 12.71507 | 1 | 12.71507 | 0.757111 | 0.4131 | - |
X1X2 | 41.70073 | 1 | 41.70073 | 2.483044 | 0.1591 | - |
X1^2 | 166.0571 | 1 | 166.0571 | 9.887768 | 0.0163 | - |
X2^2 | 0.687123 | 1 | 0.687123 | 0.040914 | 0.8455 | - |
Residual | 117.5594 | 7 | 16.7942 | - | - | - |
- | - | - | - | - | - | - |
Lack of Fit | 97.08759 | 3 | 32.36253 | 6.323339 | 0.0534 | Not significant |
Pure Error | 20.4718 | 4 | 5.11795 | - | - | - |
Cor Total | 1587.297 | 12 | - | - | - | - |
R-Squared | 0.925937 | |||||
Std. Dev. | 4.098073 | |||||
Mean | 62.63508 | |||||
C.V. % | 6.542776 | |||||
R-squared | 0.9259 | |||||
Adjusted R Squared | 0.8730 | |||||
Adeq Precision | 12.60405 |