Table 6. ANOVA for RSM Using BBD for Aluminum Adsorptiona.
| source | sum of squares | degree of freedom | mean square | F-value | p-value | |
|---|---|---|---|---|---|---|
| model | 14948.95 | 9 | 1660.99 | 63.5300 | 0.0001 | significant |
| A | 8804.65 | 1 | 8804.65 | 336.7800 | <0.0001 | |
| B | 567.84 | 1 | 567.84 | 21.7200 | 0.0055 | |
| C | 2888.00 | 1 | 2888.00 | 110.4700 | 0.0001 | |
| AB | 0.09 | 1 | 0.09 | 0.0034 | 0.9555 | |
| AC | 16.00 | 1 | 16.00 | 0.6120 | 0.4694 | |
| BC | 0.00 | 1 | 0.00 | 0.0000 | 1.0000 | |
| A2 | 1929.24 | 1 | 1929.24 | 73.7900 | 0.0004 | |
| B2 | 257.95 | 1 | 257.95 | 9.8700 | 0.0256 | |
| C2 | 798.78 | 1 | 798.78 | 30.5500 | 0.0027 | |
| residual | 130.72 | 5 | 26.14 | |||
| lack of fit | 97.09 | 3 | 32.36 | 1.9200 | 0.3599 | not significant |
| pure error | 33.63 | 2 | 16.81 | |||
| total | 15079.67 | 14 |
a
R2 = 0.9913; adjusted R2 = 0.9757; and predicted R2 = 0.8920.