Table 5.
ANOVA for the fitted quadratic polynomial model for the optimization of extraction parameters.
| Source | Sum of Squares | df | Mean Square | F Value | p Value |
|---|---|---|---|---|---|
| Model | 80.22 | 14 | 5.73 | 4.82 | 0.0029 ** |
| X 1 | 4.22 | 1 | 4.22 | 3.55 | 0.0804 |
| X 2 | 7.01 | 1 | 7.01 | 5.9 | 0.0292 |
| X 3 | 23.83 | 1 | 23.83 | 20.06 | 0.0005 |
| X 4 | 0.071 | 1 | 0.071 | 0.06 | 0.8098 |
| X 1 X 2 | 1.48 | 1 | 1.48 | 1.24 | 0.2834 |
| X 1 X 3 | 1.05 | 1 | 1.05 | 0.88 | 0.3637 |
| X 1 X 4 | 0.25 | 1 | 0.25 | 0.21 | 0.6535 |
| X 2 X 3 | 5.61 | 1 | 5.61 | 4.72 | 0.0474 |
| X 2 X 4 | 0.36 | 1 | 0.36 | 0.31 | 0.5889 |
| X 3 X 4 | 0.0016 | 1 | 0.0016 | 0.0014 | 0.9712 |
| X 1 2 | 6.47 | 1 | 6.47 | 5.45 | 0.035 |
| X 2 2 | 1.89 | 1 | 1.89 | 1.59 | 0.2274 |
| X 3 2 | 21.06 | 1 | 21.06 | 17.73 | 0.0009 |
| X 4 2 | 0.17 | 1 | 0.17 | 0.14 | 0.7113 |
| Residual | 16.63 | 14 | 1.19 | ||
| Lack of fit | 16.1 | 10 | 1.61 | 12.09 | 0.0141 * |
| Pure error | 0.53 | 4 | 0.13 | ||
| Cor total | 96.85 | 28 |
** Highly significant (p < 0.01); * Significant (p < 0.05).