Table 3.
ANOVA of the quadratic model terms (Eq. (2)) applied to the values of principal component 1 scores as new response variable
| Variation source | SSa | dfb | MSc | F value |
p-value Prob > F |
|---|---|---|---|---|---|
| Regressiond | 10.51 | 5 | 2.10 | 13.49 | 0.0018 |
| X 1 | 7.14 | 1 | 7.14 | 45.82 | 0.0003 |
| X 2 | 0.18 | 1 | 0.18 | 1.13 | 0.3233 |
| X 1 X 2 | 0.05 | 1 | 0.05 | 0.33 | 0.5838 |
| X 1 2 | 1.80 | 1 | 1.80 | 11.57 | 0.0114 |
| X 2 2 | 1.75 | 1 | 1.75 | 11.26 | 0.0122 |
| Residual | 1.09 | 7 | 0.16 | ||
| Lack of Fit | 0.90 | 3 | 0.30 | 6.50 | 0.0512 |
| Pure Error | 0.19 | 4 | 0.05 | ||
| Total SS | 11.60 | 12 | |||
| R 2 | 0.91 |
a SS Sum of squares, b df Degree of freedom, c MS Mean squares, d X 1, SAG and X 2, AP