ANOVA of the fitted polynomial quadratic model.
| Source | Sum of squares | df | Mean square | F value | p-Valuea | Significanceb |
|---|---|---|---|---|---|---|
| Model | 3.845 | 9 | 0.427 | 20.97 | 0.0003 | *** |
| A | 0.162 | 1 | 0.162 | 7.97 | 0.0256 | * |
| B | 0.349 | 1 | 0.349 | 17.11 | 0.0044 | ** |
| C | 2.112 × 10−3 | 1 | 2.112 × 10−3 | 0.10 | 0.7568 | — |
| AB | 0.116 | 1 | 0.116 | 5.67 | 0.0487 | * |
| AC | 0.026 | 1 | 0.026 | 1.26 | 0.2993 | — |
| BC | 0.391 | 1 | 0.391 | 19.18 | 0.0032 | *** |
| A2 | 1.622 | 1 | 1.622 | 79.65 | <0.0001 | *** |
| B2 | 0.668 | 1 | 0.668 | 32.78 | 0.0007 | *** |
| C2 | 0.259 | 1 | 0.259 | 12.74 | 0.0091 | *** |
| Residual | 0.143 | 7 | 0.020 | — | — | — |
| Lack of fit | 0.110 | 3 | 0.037 | 4.44 | 0.0919 | — |
| Pure error | 0.033 | 4 | 8.230 × 10−3 | — | — | — |
| Cor total | 3.988 | 16 | — | — | — | — |
| R 2 | 0.9642 | Adj R2 | 0.9183 | C.V.% = 1.83 |
Source: ANOVA using design-expert 8.0.6.
*Significant at 0.01 < p < 0.05, **significant at p < 0.01, and ***significant at p < 0.001.