Table 4.
Response | SS | df | MS (variance) | F | P-value | Lack of fit | R2 | Q2 | Model validity |
---|---|---|---|---|---|---|---|---|---|
Y1 | 6.79E+07 | 21 | 3.23E+06 | 24.2954 | 0 | 0.298 | 0.859 | 0.756 | 0.697 |
Y2 | 2.52E+06 | 21 | 119,854 | 17.2079 | 0 | 0.408 | 0.811 | 0.688 | 0.775 |
Y3 | 663,238 | 21 | 31,582.7 | 19.6317 | 0 | 0.67 | 0.867 | 0.731 | 0.900 |
Y4 | 1,033.86 | 21 | 49.2316 | 8.99197 | 0.001 | 0.178 | 0.613 | 0.404 | 0.569 |
Y5 | 389.273 | 21 | 18.5368 | 16.441 | 0 | 0.287 | 0.804 | 0.673 | 0.687 |
Y6 | 3,537.78 | 21 | 168.466 | 6.97795 | 0.001 | 0.523 | 0.699 | 0.352 | 0.838 |
Y7 | 2.71E+06 | 21 | 129,028 | 9.21479 | 0 | 0.278 | 0.697 | 0.489 | 0.680 |
Y8 | 1.54E+11 | 21 | 7.34E+009 | 8.71337 | 0 | 0.266 | 0.789 | 0.552 | 0.668 |
Y9 | 126.5 | 21 | 6.02381 | 14.838 | 0 | 0.352 | 0.724 | 0.58 | 0.739 |
Abbreviations: ANOVA, analysis of variance; SS, sum of squares; df, degrees of freedom; MS, mean of square; F, Fischer’s ratio; R2, regression coefficient; Q2, predictive power of the model.