Table 2.
ANOVA for response surface quadratic model
| Source | Sum of squares | df | Mean square | F -value | p-value |
|---|---|---|---|---|---|
| Model |
5292.98 |
14 |
378.07 |
20.67 |
< 0.0001** |
| A |
481.91 |
1 |
481.91 |
26.35 |
0.0001** |
| B |
2288.43 |
1 |
2288.43 |
125.12 |
< 0.0001** |
| C |
292.92 |
1 |
292.92 |
16.02 |
0.0012** |
| D |
1384.64 |
1 |
1384.64 |
75.71 |
< 0.0001** |
| AB |
24.27 |
1 |
24.27 |
1.33 |
0.2674 |
| AC |
2.41 |
1 |
2.41 |
0.13 |
0.7219 |
| AD |
10.44 |
1 |
10.44 |
0.57 |
0.4616 |
| BC |
0.15 |
1 |
0.15 |
0.01 |
0.9301 |
| BD |
192.20 |
1 |
192.20 |
10.51 |
0.0055** |
| CD |
0.05 |
1 |
0.05 |
0.00 |
0.9599 |
| A2 |
106.51 |
1 |
106.51 |
5.82 |
0.0291* |
| B2 |
253.27 |
1 |
253.27 |
13.85 |
0.0020** |
| C2 |
244.59 |
1 |
244.59 |
13.37 |
0.0023** |
| D2 |
259.45 |
1 |
259.45 |
14.19 |
0.0019** |
| Residual |
274.34 |
15 |
18.29 |
|
|
| Lack of fit |
273.59 |
10 |
27.36 |
182.63 |
< 0.0001 |
| Pure error |
0.75 |
5 |
0.15 |
|
|
| Cor total |
5567.33 |
29 |
|
|
|
| R-squared = 0.9570 | Adj-squared = 0.9047 | Ade precision = 16.756 | |||
**Significant at 1% level *Significant at 5% level C.V. % = 6.36.