Figure 2. Half-normal plot of Plackett-Burman Design. The graph illustrates the relative importance of various independent variables within a regression model, specifically highlighting the significant impact of MgSO4, glycerol, glucose, and LB broth concentration values. These variables exhibit considerably higher percentage probabilities of standardized effects compared to other variables in the model, indicating their greater influence on the outcome.