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Based on the value of correlation coefficient 'r', the correlation between two parameters plotted on a XY scatter diagram can be termed as positive or negative.
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A moderate correlation between two parameters is observed in the plot of the conditional distribution, whereas no clear correlation is observed in that of the background distribution (Table 3).
The experimental results were visualized in three-dimensional response surface plots that show the correlation between two parameters and methane yield. Figure 5(a) shows the response surface plot of the LC and PT effects on the methane yield of pretreated RS at an IA of 35%.
Consider that the relationship between two parameters requires only a single curve on an X-Y plot, three parameters require a family of curves on one plot, four a textbook of family-type plots, and so forth.
A better compromise between these two parameters can be found by superimposing the contour plots of the purification factor and yield for 10.3% NaCl.
Quadratic models were predicted for PF and RY in the top phase and a better compromise between these two parameters can be found by superimposing the contour plots of PF and RY for 8% citrate.
Also, TDS was plotted against cation equivalents and proportionality is expected between these two parameters.
The plots demonstrate considerable opposite variations between the two parameters.
KIT expression (RQ) plotted against the gene's copy number showed no significant correlation between the two parameters (p > 0.05, Figure 3C).
By plotting Ki(Glc) versus KM h) for cellobiose, KM CB) revealed a trade-off between the two parameters: a higher affinity for cellobiose is accompanied by a stronger glucose inhibition.
A plot of total body CL versus CLcr shows an excellent correlation between the two parameters, with complete overlap of the results of the two studies: telavancin (Fig. 2a) and hydroxypropylbetadex (Fig. 2b).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com