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 x1 and x2 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. |
RAdj |
RPred |
R2 |
PRESS |
C.V.% |
Adeq Precision |
| 0.792 | 0.985 | 0.947 | 0.991 | 25.5 | 6.284 | 29.9 |