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A regression model including these determinants explained 50 70% (R, coefficient of determination) of the variation in organochlorine compound concentrations.
From Figure 2C it is evident that only 4 BETHY/DLR results determine the underestimation and thus the coefficient of determination of about 0.77.
The coefficient of determination of the linear fit was 0.97.
The coefficient of determination of this model was 0.9754.
The coefficient of determination of the model was found to be 0.9443.
The second-order model obtained for protein yield revealed coefficient of determination of 0.846.
The coefficient of determination of this model is found to be 0.9851.
The coefficient of determination of these two models was found to be 0.980 and 0.967, respectively.
The resulting model has a high correlation of calculated descriptors and experimental results, with a coefficient of determination of 0.82 and a predictive coefficient of determination of 0.92 for unknown molecular structures and conditions.
The plotted calibration curve showed a good log-log linearity with the coefficient of determination of 0.98.
It showed high prediction ability on the previously unseen (test) data set with a coefficient of determination of 0.994.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com