Table 8. ANOVA for RSM Using CCD for the Recovery Processa.
source | sum of squares | degree of freedom | mean square | F-value | p-value | |
---|---|---|---|---|---|---|
model | 13179.06 | 5 | 2635.81 | 52.0600 | 0.0003 | significant |
A | 4496.17 | 1 | 4496.17 | 88.8100 | 0.0002 | |
B | 3899.52 | 1 | 3899.52 | 77.0300 | 0.0003 | |
AB | 10.89 | 1 | 10.89 | 0.2151 | 0.6623 | |
A2 | 2877.38 | 1 | 2877.38 | 56.8400 | 0.0007 | |
B2 | 3292.92 | 1 | 3292.92 | 65.0400 | 0.0005 | |
residual | 253.13 | 5 | 50.63 | |||
lack of fit | 224.94 | 3 | 74.98 | 5.3200 | 0.1623 | not significant |
pure error | 28.19 | 2 | 14.09 | |||
total | 13432.19 | 10 |
R2 = 0.9812; adjusted R2 = 0.9623; and predicted R2 = 0.8762.