Table 4 Analysis of variance (ANOVA) for response surface quadratic model, MS is mean Square, DF is degree of freedom and SS is sum of squares while x 1 and x 2 introduce in Table 2
Source | SS | DF | MS | F-Value | p-value (Prob > F) | Suggestion |
|---|---|---|---|---|---|---|
Model | 481.5 | 5 | 96.3 | 153.6 | < 0.0001 | significant |
x1 | 4.6 | 1 | 4.6 | 7.4 | 0.0299 | |
x2 | 7.4 | 1 | 7.4 | 11.9 | 0.0108 | |
x1x2 | 22.3 | 1 | 22.3 | 35.6 | 0.0006 | |
x12 | 298.7 | 1 | 298.7 | 476.4 | < 0.0001 | |
x22 | 205.5 | 1 | 205.5 | 327.7 | < 0.0001 | |
Residual | 4.4 | 7 | 0.6 | |||
Lack of Fit | 3.4 | 3 | 1.1 | 4.4 | 0.0938 | not significant |
Pure Error | 1.0 | 4 | 0.3 | < 0.0001 | ||
Cor Total | 485.9 | 12 | 0.0299 | |||
Std.Dev. | R Adj | R Pred | R 2 | PRESS | C.V.% | Adeq Precision |
0.792 | 0.985 | 0.947 | 0.991 | 25.5 | 6.284 | 29.9 |