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Figure 2: Linear regression plot of B. pertussis displaying the correlation (R2) between the root-to-tip distance (y-axis) and the date of isolation (x-axis).

The injection amperometric investigation confirms the highest selectivity of 284 mA g−1 μM−1 is attained, according to a linear regression plot of current response versus glucose concentration, i.e., 0‒1 mM.

A standard linear regression plot and equation was extrapolated from the mean fluorescence intensity (MFI) of the control beads.

Values of qmax and b (KL/qmax) are determined by the linear regression plot of (Ce/qe) versus Ce.

The best CDM prediction is against the winter historic data, which shows a linear regression plot with slope of 0.99, intercept of 0.0212, and R2 = 0.872.

The relation was represented by linear regression plot of ln (chromite mass) versus Ln (lo) with high correlation coefficient (R 2 = 1) in Fig. 5b.

(b) Linear regression plots displaying correlation between modeled and experimental data.

(c) Linear regression plots displaying correlation between modeled and experimental data.

Linear regression plots for the area counts of GSL compounds from (a) GM1a and (b) GD3 standards as a function of concentration.

Figure 8 Linear regression plots.

Fig. 3 Linear regression plots between QGS and CMR of LV volumes (a) (blue circles indicate EDV; red indicates ESV) and EF (b) Fig. 4 Linear regression plots between cREPO and CMR of LV volumes (a) and EF (b) Blue and red circles indicate as the same as Fig. 3.