Table 2.
ANOVA for the response surface model.
| Source | Sum of Squares | df | Mean Square | F Value | p Value | Significant |
|---|---|---|---|---|---|---|
| Model | 4252.35 | 9 | 472.48 | 10.06 | 0.0006 | significant |
| X1 | 29.51 | 1 | 29.51 | 0.63 | 0.4463 | |
| X2 | 854.21 | 1 | 854.21 | 18.19 | 0.0016 | |
| X3 | 1633.58 | 1 | 1633.58 | 34.79 | 0.0002 | |
| X1X2 | 0.97 | 1 | 0.97 | 0.021 | 0.8888 | |
| X1X3 | 0.42 | 1 | 0.42 | 0.009 | 0.9262 | |
| X2X3 | 14.04 | 1 | 14.04 | 0.30 | 0.5964 | |
| X12 | 497.42 | 1 | 497.42 | 10.59 | 0.0087 | |
| X22 | 726.50 | 1 | 726.50 | 15.47 | 0.0028 | |
| X32 | 829.77 | 1 | 829.77 | 17.67 | 0.0018 | |
| Residual | 469.59 | 10 | 46.96 | |||
| Lack of Fit | 120.65 | 5 | 24.13 | 0.35 | 0.8657 | not significant |
| Pure Error | 348.94 | 5 | 69.79 | |||
| Cor Total | 4721.94 | 19 | ||||
| R-Squared | 0.9006 | |||||
| Adj R-Squared | 0.8110 |