Table 3.
Analysis of variance (ANOVA) for response surface quadratic model (12 analytes).
| Source | Sum of Squares | d.f a | Mean Square | F-Value b | p-Value c | Prof > F |
|---|---|---|---|---|---|---|
| Model | 0.86 | 9 | 0.095 | 77.74 | <0.0001 | significant |
| A-pH | 0.035 | 1 | 0.035 | 28.73 | 0.0003 | |
| B-VE | 0.016 | 1 | 0.016 | 13.33 | 0.0045 | |
| C-VD | 0.28 | 1 | 0.28 | 226.20 | <0.0001 | |
| AB | 0.011 | 1 | 0.011 | 9.31 | 0.0122 | |
| AC | 3.306 × 10−3 | 1 | 3.306 × 10−3 | 2.48 | 0.14666 | |
| BC | 0.037 | 1 | 0.037 | 30.27 | 0.0003 | |
| A2 | 0.25 | 1 | 0.25 | 203.26 | <0.0001 | |
| B2 | 0.12 | 1 | 0.12 | 94.77 | <0.0001 | |
| C2 | 0.20 | 1 | 0.20 | 164.98 | <0.0001 | |
| Redisual | 0.012 | 10 | 1.205 × 10−3 | |||
| Lack of fit | 0.012 | 5 | 2.393 × 10−3 | 38.76 | 0.0005 | significant |
| Pure Error | 3.082 × 10−4 | 5 | 6.165 × 10−5 | |||
| Cor Total | 0.87 | 19 |
a Degrees of freedom. b Test for comparing model variance with residual (error) variance. c Probability of seeing the observed F-value if the null hypothesis is true.