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Straight lines were obtained for the selected compositions by linear regression, corresponding to the Gibbs–Helmholtz equation [4].
Table 3 shows the association between smoking behavior and methylation intensities at F2RL3 CpG_4 estimated by linear regression (corresponding results for CpG_2 and CpG_5 are reported in Supplemental Material, Table S3).
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A red line in each panel in Fig. 3 represents the linear relation (as obtained by linear regression) between the two corresponding parameters, and the cross-correlation coefficient is noted.
This gives "Stake′" = {stake + αReward} and "Effort′" = {effort + βExpected Reward}, orthogonalizing stake and effort with respect to expected reward by linear regression, with α and β corresponding to the slopes of the regressions.
Serum insulin levels from these three centers were converted by linear regression analysis to serum insulin levels corresponding to the Tubingen assay as previously reported in detail [11], [12].
Each curve was normalized by linear regression using the slope of the corresponding nontransformed bacterial protein extract curve.
Differences among provenances are displayed by linear regression and significances were estimated using the corresponding linear model followed by Tukey's multiple comparison test of least-squares means.
Correlations of different parameters were analyzed by linear regression and indicated by the square of the corresponding regression coefficient (R).
The coefficient of correlation (R) and the corresponding P value were determined by linear regression.
Calibrations were calculated by linear regression of the signal area of linezolid vs. the applied corresponding concentrations.
The IC50 values for the Cell Number endpoint, the concentrations corresponding to 50% of the maximum effect, were determined by linear regression on the most linear portions of the curves where toxic effect occurred for each toxicant.
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