Table 3.
ANOVA of experimental results of response surface methodology.
| Source | Df | Sum of squares | Mean square | F value | P value (significant) |
|---|---|---|---|---|---|
| Model | 9 | 1.22 | 0.13 | 175.17 | <0.0001** |
| X1 | 1 | 0.41 | 0.41 | 532.99 | <0.0001** |
| X2 | 1 | 0.0072 | 0.0072 | 9.37 | 0.0281* |
| X3 | 1 | 0.14 | 0.14 | 182.26 | <0.0001** |
| X1X2 | 1 | 0.002025 | 0.002025 | 2.64 | 0.1654 |
| X1X3 | 1 | 0.044 | 0.044 | 57.4 | 0.0006** |
| X2X3 | 1 | 0.000225 | 0.000225 | 0.29 | 0.6116 |
| X12 | 1 | 0.26 | 0.26 | 333.24 | <0.0001** |
| X22 | 1 | 0.31 | 0.31 | 406.48 | <0.0001** |
| X32 | 1 | 0.12 | 0.12 | 161.52 | <0.0001** |
| Lack of fit | 3 | 0.003575 | 0.001192 | 8.94 | 0.1023 |
| Pure error | 2 | 0.0002667 | 0.0001333 | ||
| Cor total | 14 | 1.22 |
Notes: * and ** refer to differences that were significant at P < 0.05 and P < 0.01, respectively.
ANOVA: analysis of variance.