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This was complemented by a regression plot including the 95% confidence intervals (CI).
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MAF was also examined as a continuous variable and was confirmed to be a major source of heterogeneity as indicated by the regression plot and P-value of <0.001 (Table 4).
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.
SIMCA (v.13, Umetrics AB, Umeå, Sweden) was used to build a PLS regression plot [123] (Fib 6c) by taking 233 parameters (distances, angles, dihedrals etc).
Values of qmax and b (KL/qmax) are determined by the linear regression plot of (Ce/qe) versus Ce.
A residual is the difference between an observed score and the score predicted by a regression equation, so plots such as these show how much the individual units (in this case practices) differ from the mean.
These observations can be corroborated by regression plots.
The zero order kinetic model was represented by regression plotting of C t versus time (Fig. 4a) and the first order kinetic model was investigated from the linear relation between In (C0/C) and time (Fig. 4b).
Multivariable adjusted dose-response relations between inflammatory marker levels and cancer risk were also visualized by generalized additive regression plots.
The average ethanol yields (Y EtOH/Xyl ) for each strain can be estimated by generating a regression for a plot of xylose consumption versus ethanol generation and these were found to be 0.31 g/g for strain Y128 and 0.25 g/g for strain Y73.
The number of factors in the PLS regression plot was determined by predicted residual error sum of squares plot, which estimates the error that would be encountered in measuring new samples of a similar type.
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