Table 3.
Analysis of variance (ANOVA) for the fitted model
| Source | df | SS | MS | F value | p value prob > F |
|---|---|---|---|---|---|
| pH (R2 = 0.87) | |||||
| Model | 5 | 1.80 | 0.36 | 9.11 | 0.0057 s |
| Lack of fit | 3 | 0.25 | 0.083 | 11.54 | 0.0194 s |
| Pure error | 4 | 0.029 | 7.16 × 10−3 | ||
| BI (R2 = 0.82) | |||||
| Model | 5 | 6.02 | 1.20 | 6.18 | 0.0167 s |
| Lack of fit | 3 | 0.63 | 0.21 | 1.14 | 0.4331 ns |
| Pure error | 4 | 0.73 | 0.18 | ||
| DPPH (R2 = 0.69) | |||||
| Model | 5 | 7928.11 | 1585.62 | 3.11 | 0.0858 ns |
| Lack of fit | 3 | 274.74 | 91.58 | 0.11 | 0.9491 ns |
| Pure error | 4 | 3297.95 | 824.49 | ||
| TEAC (R2 = 0.61) | |||||
| Model | 5 | 0.83 | 0.17 | 2.12 | 0.1776 ns |
| Lack of fit | 3 | 0.15 | 0.051 | 0.51 | 0.6947 ns |
| Pure error | 4 | 0.39 | 0.099 | ||
| ORAC (R2 = 0.96) | |||||
| Model | 5 | 89.31 | 17.86 | 29.97 | 0.0001 s |
| Lack of fit | 3 | 3.98 | 1.33 | 27.82 | 0.0039 s |
| Pure error | 4 | 0.19 | 0.048 | ||
| HMF (R2 = 0.87) | |||||
| Model | 6 | 5.79 | 0.97 | 6.95 | 0.0163 s |
| Lack of fit | 2 | 0.82 | 0.41 | 128.31 | 0.0002 s |
| Pure error | 4 | 0.013 | 3.196 × 10−3 | ||
| AC (R2 = 0.83) | |||||
| Model | 5 | 95,273.58 | 19,054.72 | 6.80 | 0.0129 s |
| Lack of fit | 3 | 19,626.08 | 6542.03 | 23,661.84 | < 0.0001 s |
| Pure error | 4 | 1.11 | 0.28 |
df degrees of freedom, SS sum of squares, MS mean square, ns not significant, s significant; significance level of p < 0.05