Table 4.
ANOVA of the central composite design.
| Source | Sum of Squares | df | Mean Square | F-Value | p-Value | Significance |
|---|---|---|---|---|---|---|
| Model | 8.140 | 9 | 0.900 | 7.60 | 0.0020 | Significant |
| X1 | 1.560 | 1 | 1.560 | 13.12 | 0.0047 | |
| X2 | 2.840 | 1 | 2.840 | 23.84 | 0.0006 | |
| X3 | 0.970 | 1 | 0.970 | 8.18 | 0.0170 | |
| X1X2 | 0.043 | 1 | 0.043 | 0.37 | 0.5591 | |
| X1X3 | 0.005 | 1 | 0.005 | 0.04 | 0.8409 | |
| X2X3 | 0.630 | 1 | 0.630 | 5.33 | 0.0437 | |
| X12 | 0.470 | 1 | 0.470 | 3.94 | 0.0752 | |
| X22 | 1.160 | 1 | 1.160 | 9.73 | 0.0109 | |
| X32 | 0.840 | 1 | 0.840 | 7.08 | 0.0239 | |
| Residual | 1.190 | 10 | 0.120 | |||
| Lack of Fit | 0.200 | 5 | 0.040 | 0.20 | 0.9474 | Not significant |
| Pure Error | 0.990 | 5 | 0.200 | |||
| Cor Total | 9.330 | 19 |