*4.2. Screening Design—2<sup>k</sup> Experiment*

Based on Figure 4, the most distant effects from the normal distribution trend were: B (Ks), A (Transport Equation), AB, BC, ABC, C (Kb). These were taken to perform the ANOVA analysis, allowing to dissect OWIST, MF variability and to evaluate the statistical significance of each effect by comparing its mean square against an estimate of the experimental error.

The results of the ANOVA Table concluded that the 6 evaluated effects include a *P*-value less than 0.05, indicating that they are significantly different from zero with a confidence level of 95.0%. From Figure 5 it can be observed that the graph of Residual vs. Predicted Values does not present any unusual structure. From the normality graph, it was observed that residues are correctly fitted to this type of statistical distribution. Finally, the graph of Residual vs. Order did not show any trend regarding the structure of execution; instead, the behavior of the Residual is erratic and dispersed.

From this screening experiment, it was found that just three of the five calibration parameters and only three interactions have significant effects on OWIST, MF. Based on this, only those three parameters were used for the second 3k type experiment design, or fit design.
