Table 6.
ANOVA and R-squared for the selected factorial model.
Source | Sum of squares | Mean | F | p-value | ||
---|---|---|---|---|---|---|
df | Square | Value | Prob>F | |||
Model | 142.41 | 5 | 28.48 | 23.24 | 0.0003 | Significant |
A- Methanol | 10.85 | 1 | 10.85 | 8.85 | 0.0207 | |
B- number | 14.31 | 1 | 14.31 | 11.68 | 0.0112 | |
AB | 0.53 | 1 | 0.53 | 0.43 | 0.5321 | |
A2 | 84.08 | 1 | 84.08 | 68.59 | <0.0001 | |
B2 | 47.07 | 1 | 47.07 | 38.40 | 0.0004 | |
Residual | 8.58 | 7 | 1.23 | |||
Lack of Fit | 0.84 | 3 | 0.28 | 0.15 | 0.9275 | Not Significant |
Pure Error | 7.74 | 4 | 1.93 | |||
Cor Total | 150.99 | 12 | ||||
Std. Dev. | 1.11 | |||||
Mean | 31.52 | |||||
C.V.% | 3.51 | |||||
PRESS | 18.09 | |||||
R-Squared | 0.9432 | |||||
Adj R-Squared | 0.9026 | a | ||||
Pred R-Squared | 0.8802 | |||||
Adeq Precisior | 11.890 |