Table 4. Analysis of variance (ANOVA) for the quadratic model.
Source | Sum of squares | Degree of freedom | Mean of square | F value | P value |
Model | 328.1976 | 9 | 36.4664 | 32.8442 | <0.0001 |
x 1 | 55.1439 | 1 | 55.1439 | 49.6665 | <0.0001 |
x 2 | 10.1688 | 1 | 10.1688 | 9.1587 | 0.0128 |
x 3 | 8.7309 | 1 | 8.7309 | 7.8636 | 0.0187 |
x 1 x 2 | 2.1841 | 1 | 2.1841 | 1.9671 | 0.1910 |
x 1 x 3 | 2.1218 | 1 | 2.1218 | 1.9110 | 0.1969 |
x 2 x 3 | 1.4450 | 1 | 1.4450 | 1.3015 | 0.2805 |
x 1 2 | 221.6356 | 1 | 221.6356 | 199.6204 | <0.0001 |
x 2 2 | 10.5680 | 1 | 10.5680 | 9.5183 | 0.0115 |
x 3 2 | 41.6273 | 1 | 41.6273 | 37.4924 | 0.0001 |
Residual | 11.1029 | 10 | 1.1103 | ||
Lack of fit | 6.2947 | 5 | 1.2589 | 1.3092 | 0.3874 |
Pure error | 4.8081 | 5 | 0.9616 | ||
Total | 339.3005 | 19 |
R2 = 96.73%; Adj R2 = 93.78%.
P value less than 0.05 indicates that the model terms are significant.
P value less than 0.01 indicates that the model terms are highly significant.