Table 3.
Variance analysis of regression equation.
| Source | Sum of squares | df | Mean square | F-value | P-value |
|---|---|---|---|---|---|
| Model | 1.34 | 7 | 0.19 | 13.99 | 0.0004 |
| X1 | 0.17 | 1 | 0.17 | 12.47 | 0.0064 |
| X2 | 1.250E-005 | 1 | 1.250E-005 | 9.106E-004 | 0.9766 |
| X3 | 8.000E-004 | 1 | 8.000E-004 | 0.058 | 0.8146 |
| X1X2 | 0.23 | 1 | 0.23 | 16.78 | 0.0027 |
| X12 | 0.11 | 1 | 0.11 | 7.80 | 0.0209 |
| X22 | 0.21 | 1 | 0.21 | 15.46 | 0.0034 |
| X32 | 0.54 | 1 | 0.54 | 39.09 | 0.0001 |
| Residual | 0.12 | 9 | 0.014 | – | – |
| Lack of fit | 0.11 | 5 | 0.021 | 4.91 | 0.0743 |
| Pure error | 0.017 | 4 | 4.330E-003 | – | – |
| Cor total | 1.47 | 16 | – | – | – |