ANOVA results of regression model.
| Source | Sum of squares | df | Mean square | F value | P value prob > F | Significant |
|---|---|---|---|---|---|---|
| Model | 9915.16 | 14 | 708.23 | 70.69 | <0.0001 | Significant |
| A | 27.00 | 1 | 27.00 | 2.69 | 0.1229 | |
| B | 43.32 | 1 | 43.32 | 4.32 | 0.0564 | |
| C | 31.69 | 1 | 31.69 | 3.16 | 0.0971 | |
| D | 192.80 | 1 | 192.80 | 19.24 | 0.0006 | |
| AB | 2.56 | 1 | 2.56 | 0.26 | 0.6211 | |
| AC | 21.16 | 1 | 8.41 | 0.84 | 0.3751 | |
| AD | 8.41 | 1 | 21.16 | 2.11 | 0.1682 | |
| BC | 6.00 | 1 | 6.00 | 0.60 | 0.4518 | |
| BD | 21.62 | 1 | 21.62 | 2.16 | 0.1639 | |
| CD | 5.76 | 1 | 5.76 | 0.57 | 0.4609 | |
| A2 | 971.00 | 1 | 971.00 | 96.91 | < 0.0001 | |
| B2 | 8352.86 | 1 | 8352.86 | 833.67 | < 0.0001 | |
| C2 | 1890.62 | 1 | 1890.62 | 188.69 | < 0.0001 | |
| D2 | 1744.07 | 1 | 1744.07 | 174.07 | < 0.0001 | |
| Residual | 140.27 | 14 | 10.02 | |||
| Lack of fit | 108.28 | 10 | 10.83 | 1.35 | 0.4133 | Insignificant |
| Pure error | 31.99 | 4 | 8.00 | |||
| Cor total | 10 055.43 | 28 |