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Generally, a single regression model is selected to make hydrological estimates at an ungauged basin.
Instead of building a single regression model to predict the entire range of behaviors in one simplified relationship, ABS seeks to capture emergent phenomena from individual agents.
The prediction accuracy is high compared with predictions in which the vehicle velocity and the headway or rear distances are not taken into account or predictions using a single regression model with one independent variable, namely driving speed.
In order to assess the independence of these observations, we analysed both regions in a single regression model in which haplotypes at one of the loci are tested for association with the study phenotypes entering the tagging SNPs of the others loci as covariates in the model.
bAll risk factors analysed in a single regression model.
When a single regression model is applied to the test data set, the R=0.5234.
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Traditionally, lenders have used single regression models that analyze approximately fifteen points of data to make credit decisions.
The contributions using multiple regression models are higher than are the ones for single regression models.
(PDF 770 kb) Additional file 3: Global multiple regression linear mixed-effects kinship models incorporating all significant predictors (P < 0.05) from separate single regression models for: a) home range and b) group size.
Single regression models were applied to relate particle properties to the measured effect levels, and a multiple linear regression model was used to assesss simultaneously the effect of particle surface area and OC in relation to the inflammatory response.
In addition to the single regression models, multiple regression models with inclusion of both Ki67-DIA-2 and Ki67-VE-Median gave slightly higher R-square value (0.91) than the Ki67-DIA-2 alone (0.90).
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