Table 3 ANOVA analysis of different terms of RSM-based models.
Source | D.F | S. S | M.S | P-value | Coefficient-value | |||||
|---|---|---|---|---|---|---|---|---|---|---|
Y1 | \(\:{Y}_{2}\) | \(\:{Y}_{1}\) | \(\:{Y}_{2}\) | \(\:{Y}_{1}\) | \(\:{Y}_{2}\) | \(\:{Y}_{1}\) | \(\:{Y}_{2}\) | |||
Model | 14 | 3.2931 | 8463.6475 | 0.2352 | 604.5463 | 0.0433 | 0.0070 | 0.7518 | 0.5148 | |
\(\:{x}_{1}\) | 1 | 0.0112 | 580.3576 | 0.0112 | 580.3576 | 0.7133 | 0.0522 | − 1.4310 | 0.7301 | |
\(\:{x}_{2}\) | 1 | 0.1179 | 1077.9182 | 0.1179 | 1077.9182 | 0.2483 | 0.0133 | 0.0857 | 0.7663 | |
\(\:{x}_{3}\) | 1 | 0.1190 | 3556.4489 | 0.1190 | 3556.4489 | 0.2462 | 0.0003 | 0.0353 | − 1.3922 | |
\(\:{x}_{4}\) | 1 | 0.0056 | 171.7406 | 0.0056 | 171.7406 | 0.7941 | 0.2584 | − 0.8914 | 0.4771 | |
\(\:{{x}_{1}}^{2}\) | 1 | 1.8113 | 621.4060 | 1.8113 | 621.4060 | 0.0007 | 0.0458 | − 0.4340 | 0.1673 | |
\(\:{{x}_{2}}^{2}\) | 1 | 0.0001 | 128.7248 | 0.0001 | 128.7248 | 0.9785 | 0.3239 | − 0.3307 | 0.6121 | |
\(\:{{x}_{3}}^{2}\) | 1 | 0.0016 | 87.3349 | 0.0016 | 87.3349 | 0.8885 | 0.4128 | − 0.2527 | − 0.1380 | |
\(\:{{x}_{4}}^{2}\) | 1 | 0.2392 | 124.8424 | 0.2392 | 124.8424 | 0.1113 | 0.3310 | 0.0395 | 0.0693 | |
\(\:{x}_{1}{x}_{2}\) | 1 | 0.1374 | 2.5917 | 0.1374 | 2.5917 | 0.2150 | 0.8859 | 0.0152 | − 0.3094 | |
\(\:{x}_{1}{x}_{3}\) | 1 | 0.0711 | 265.1484 | 0.0711 | 265.1484 | 0.3635 | 0.1673 | 0.2064 | 0.2540 | |
\(\:{x}_{1}{x}_{4}\) | 1 | 0.0306 | 57.5990 | 0.0306 | 57.5990 | 0.5459 | 0.5035 | 1.8999 | − 0.8294 | |
\(\:{x}_{2}{x}_{3}\) | 1 | 0.0034 | 0.2599 | 0.0034 | 0.2599 | 0.8386 | 0.9637 | 0.0001 | − 0.4509 | |
\(\:{x}_{2}{x}_{4}\) | 1 | 0.0015 | 291.8533 | 0.0015 | 291.8533 | 0.8915 | 0.1493 | − 0.0982 | 0.4664 | |
\(\:{x}_{3}{x}_{4}\) | 1 | 0.0552 | 66.4733 | 0.0552 | 66.4733 | 0.4212 | 0.4731 | 0.8798 | − 0.4886 | |
Residual | 10 | 0.7841 | 1195.7125 | 0.0784 | 119.5712 | |||||
Total | 24 | 4.0773 | 9659.3600 | |||||||
