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 | |||
