Table 2.
Analysis of variance (ANOVA) for the regression model and respective model terms.
| Source | Sum of squares | Degree of freedom | Mean square | F-value | Prob > Fa,b |
|---|---|---|---|---|---|
| Model | 11398.83 | 9 | 1266.537 | 25.92057 | 0.0001 |
| Temperature (A) | 69.32531 | 1 | 69.32531 | 1.418791 | 0.2724 |
| Substrate molar ratio (B) | 142.1298 | 1 | 142.1298 | 2.908786 | 0.1319 |
| Water content (C) | 1799.7 | 1 | 1799.7 | 36.83213 | 0.0005 |
| A2 | 346.665 | 1 | 346.665 | 7.094744 | 0.0323 |
| B2 | 1805.258 | 1 | 1805.258 | 36.94588 | 0.0005 |
| C2 | 6430.1 | 1 | 6430.1 | 131.5965 | <0.0001 |
| AB | 4.2849 | 1 | 4.2849 | 0.087693 | 0.7757 |
| AC | 91.48922 | 1 | 91.48922 | 1.872391 | 0.2135 |
| BC | 23.3289 | 1 | 23.3289 | 0.477442 | 0.5118 |
| Residual | 342.0356 | 7 | 48.86223 | ||
| Lack of fit | 283.2356 | 3 | 94.41188 | 6.422577 | 0.0521 |
| Pure error | 58.8 | 4 | 14.7 | ||
| Cor total | 11740.87 | 16 |
a
Significant at “Prob > F” lower than 0.05;
b
Insignificant at “Prob > F” higher than 0.1.