Table 3.
Analysis of variance (ANOVA) for the model regression 1.
| Source | SS | DF | MS | F-value | p value |
|---|---|---|---|---|---|
| Model 1 | 167.53 | 9 | 18.61 | 5.87 | 0.0147 |
| A, agitation | 1.55 | 1 | 1.55 | 0.49 | 0.5073 |
| B, Temp. | 6.27 | 1 | 6.27 | 1.98 | 0.2027 |
| C, pH | 26.56 | 1 | 26.56 | 8.37 | 0.0232 |
| AB | 3.75 | 1 | 3.75 | 1.18 | 0.3130 |
| AC | 1.11 | 1 | 1.11 | 0.35 | 0.5730 |
| BC | 26.81 | 1 | 26.81 | 8.45 | 0.0227 |
| A 2 | 12.81 | 1 | 12.81 | 4.04 | 0.0844 |
| B 2 | 10.68 | 1 | 10.68 | 3.37 | 0.1092 |
| C 2 | 101.05 | 1 | 101.05 | 31.86 | 0.0008 |
| Residual | 22.20 | 7 | 3.17 | ||
| Lack of fit | 17.22 | 5 | 3.44 | 1.38 | 0.4700 |
| Pure error | 4.98 | 2 | 2.49 | ||
| Total | 189.73 | 16 |
1Model regression is xylanase activity = −81.111 + 0.431∗A + 1.784∗B + 12.937∗C + 0.006∗A∗B + 0.009∗A∗C − 0.153∗B∗C − 0.003∗A2 − 0.027∗B2 − 0.748∗C2; R2 = 0.8830; SS, sum of squares; DF, degrees of freedom; MS, mean square. Significance level = 95%.