Table 3. ANOVA for response surface quadratic model analysis of variance table.
Source | Sum of squares | Degree of freedom | Mean square | F-value | p-value |
---|---|---|---|---|---|
Model | 6597.89 | 9 | 733.10 | 237.17 | < 0.0001** |
X1 | 677.12 | 1 | 677.12 | 219.06 | < 0.0001** |
X2 | 534.65 | 1 | 534.65 | 172.97 | < 0.0001** |
X3 | 315.01 | 1 | 315.01 | 101.91 | < 0.0001** |
X1X2 | 69.72 | 1 | 69.72 | 22.56 | 0.0021** |
X1X3 | 83.72 | 1 | 83.72 | 27.09 | 0.0012** |
X2X3 | 12.60 | 1 | 12.60 | 4.08 | 0.0832 |
X12 | 949.58 | 1 | 949.58 | 307.21 | < 0.0001** |
X22 | 2741.65 | 1 | 2741.65 | 886.98 | < 0.0001** |
X32 | 752.38 | 1 | 752.38 | 243.41 | < 0.0001** |
Residual | 21.64 | 7 | 3.09 | ||
Lack of Fit | 15.89 | 3 | 5.30 | 3.68 | 0.1201 |
Pure Error | 5.75 | 4 | 1.44 | ||
Cor Total | 6619.53 | 16 |
** Significance with p < 0.01