Table 4.
ANOVA of the central composite design.
Source | Sum of Squares | df | Mean Square | F-Value | p-Value | Significance |
---|---|---|---|---|---|---|
Model | 0.1200 | 9 | 0.0140 | 19.1800 | <0.0001 | ** |
A | 0.0100 | 1 | 0.0100 | 14.7400 | 0.0033 | ** |
B | 0.0046 | 1 | 0.0046 | 6.4500 | 0.0294 | * |
C | 0.0063 | 1 | 0.0063 | 8.9200 | 0.0137 | * |
AB | 0.0091 | 1 | 0.0091 | 12.8700 | 0.0049 | ** |
AC | 0.0180 | 1 | 0.0180 | 26.0300 | 0.0005 | ** |
BC | 0.0012 | 1 | 0.0012 | 1.5900 | 0.2357 | |
A2 | 0.0450 | 1 | 0.0450 | 63.8300 | <0.0001 | ** |
B2 | 0.0078 | 1 | 0.0078 | 11.0500 | 0.0077 | ** |
C2 | 0.0310 | 1 | 0.0310 | 43.6200 | <0.0001 | ** |
Residual | 0.0071 | 10 | 0.0007 | |||
Lack of Fit | 0.0046 | 5 | 0.0009 | 1.79 | 0.2685 | |
Pure Error | 0.0026 | 5 | 0.0005 | |||
Cor Total | 0.1300 | 19 | ||||
R2 | 0.9452 | |||||
R2Adj | 0.8960 |