Table 2 Statistical analysis of Plackett–Burman design showing coefficient values, t- and p-values for each variable affecting ACP production.
Variables | Coefficient | Main effect | Std Error | t-Stat | P-value | Contribution % | Confidence level (%) |
|---|---|---|---|---|---|---|---|
Intercept | 42.45903 | 0.446244 | 95.14735 | 7.31551E−08 | 100 | ||
X1 | 4.731806 | 9.463614 | 0.515279 | 9.182993 | 0.0007809 | 20.0926 | 99.92190 |
X2 | − 2.490105 | − 4.98021 | 0.515279 | − 4.83253 | 0.0084457 | 10.5737 | 99.15542 |
X3 | − 1.702481 | − 3.40496 | 0.515279 | − 3.30399 | 0.0298215 | 7.22922 | 97.01784 |
X4 | 1.690363 | 3.38072 | 0.515279 | 3.28048 | 0.0304869 | 7.1777 | 96.95130 |
X5 | − 1.884240 | − 3.76848 | 0.515279 | − 3.65673 | 0.0216424 | 8.0010 | 97.83575 |
X6 | 1.738833 | 3.477666 | 0.515279 | 3.37454 | 0.0279260 | 7.3835 | 97.20739 |
X7 | 1.750950 | 3.501900 | 0.515279 | 3.39806 | 0.0273261 | 7.43503 | 97.26738 |
X8 | 0.6240411 | 1.248082 | 0.515279 | 1.21107 | 0.2925245 | 2.64985 | 70.74754 |
X9 | − 2.768803 | − 5.537607 | 0.515279 | − 5.37340 | 0.0057941 | 11.7571 | 99.42058 |
X10 | − 2.296228 | − 4.592457 | 0.515279 | − 4.45628 | 0.0111923 | 9.75045 | 98.88076 |
X11 | − 1.872123 | − 3.744246 | 0.515279 | − 3.63322 | 0.0220967 | 7.94957 | 97.79032 |
ANOVA | df | SS | MS | F | Significance F | ||
|---|---|---|---|---|---|---|---|
Regression | 11 | 729.832 | 66.3483 | 20.82397 | 0.005 | ||
Residual | 4 | 12.7446 | 3.18615 | ||||
Total | 15 | 742.576 | |||||
R2 | 0.982 | ||||||
Adj. R2 | 0.935 |
