Table 2.
ANOVA for removal of MB.
| Source | Sum of squares | Degree of freedom | Mean square | F-value | p-value | |
|---|---|---|---|---|---|---|
| Model | 11,507.80 | 14 | 821.99 | 779.99 | < 0.0001 | significant |
| A | 887.69 | 1 | 887.69 | 842.34 | < 0.0001 | |
| B | 145.81 | 1 | 145.81 | 138.36 | < 0.0001 | |
| C | 64.31 | 1 | 64.31 | 61.02 | < 0.0001 | |
| D | 152.80 | 1 | 152.80 | 144.99 | < 0.0001 | |
| AB | 214.92 | 1 | 214.92 | 203.94 | < 0.0001 | |
| AC | 2469.59 | 1 | 2469.59 | 2343.42 | < 0.0001 | |
| AD | 45.43 | 1 | 45.43 | 43.11 | < 0.0001 | |
| BC | 760.10 | 1 | 760.10 | 721.27 | < 0.0001 | |
| BD | 294.98 | 1 | 294.98 | 279.91 | < 0.0001 | |
| CD | 394.22 | 1 | 394.22 | 374.08 | < 0.0001 | |
| A2 | 3221.76 | 1 | 3221.76 | 3057.15 | < 0.0001 | |
| B2 | 3278.39 | 1 | 3278.39 | 3110.89 | < 0.0001 | |
| C2 | 31.62 | 1 | 31.62 | 30.00 | < 0.0001 | |
| D2 | 1345.55 | 1 | 1345.55 | 1276.80 | < 0.0001 | |
| Residual | 14.75 | 14 | 1.05 | |||
| Lack of fit | 10.44 | 10 | 1.04 | 0.9692 | 0.5627 | Not significant |
| Pure error | 4.31 | 4 | 1.08 | |||
| Cor total | 11,522.55 | 28 | ||||
| R2 = 0.9987 | Adjusted R2 = 0.9974 | Predicted R2 = 0.9942 | Adeq-Precision = 92.75 | |||