304 XXXI International Mineral Processing Congress 2024 Proceedings/Washington, DC/Sep 29–Oct 3
Table 3. ANOVA parameters for reduced quadratic model and fit statistics
Source Sum of Squares Mean Square F-value p-value
Model 2.65 0.53 8.08 0.0015 significant
A-Time 0.0307 0.0307 0.4674 0.5072
B-Mass 1.62 1.62 24.75 0.0003
C-Intensity 1.1356 0.1356 2.07 0.176
A2 0.4235 0.4235 6.45 0.0259
B2 0.8275 0.8275 12.61 0.004
Residual 0.7873 0.0656
Lack of Fit 0.3054 0.0339 0.2113 0.09699 Not significant
Pure Error 0.4819 0.1606
v 3.44
Std. Dev. 0.2561 Adjusted R2 0.6755
Mean 1.2 Predicted R2 0.5825
C.V. %21.27 Adeq Precision 9.1104
R2 0.7709
Figure 4. The diagnostic plots such as the Normal plot of residuals (a), predicted vs. actual (b), residuals vs. predicted (c),
Cook’s distance (d), and leverage vs. Run (e)
Table 3. ANOVA parameters for reduced quadratic model and fit statistics
Source Sum of Squares Mean Square F-value p-value
Model 2.65 0.53 8.08 0.0015 significant
A-Time 0.0307 0.0307 0.4674 0.5072
B-Mass 1.62 1.62 24.75 0.0003
C-Intensity 1.1356 0.1356 2.07 0.176
A2 0.4235 0.4235 6.45 0.0259
B2 0.8275 0.8275 12.61 0.004
Residual 0.7873 0.0656
Lack of Fit 0.3054 0.0339 0.2113 0.09699 Not significant
Pure Error 0.4819 0.1606
v 3.44
Std. Dev. 0.2561 Adjusted R2 0.6755
Mean 1.2 Predicted R2 0.5825
C.V. %21.27 Adeq Precision 9.1104
R2 0.7709
Figure 4. The diagnostic plots such as the Normal plot of residuals (a), predicted vs. actual (b), residuals vs. predicted (c),
Cook’s distance (d), and leverage vs. Run (e)