Sentence examples for by a multiple linear from inspiring English sources

The ratio (Fed-Feo)/Fet proved as the most appropriate POR with 64% explained variation by a multiple linear regression model, implying significantly lower iron release with higher SM and pH values.

We integrally relate natural and anthropogenic influences on fish species richness by a multiple linear regression model that is driven by a combination of factors including river network structure controls, water quality alterations of habitat, and disruption of channel connectivity with major discontinuities in habitat caused by dams.

One might, as in this case study, choose a mathematical relation which represents whether, and by what order of magnitude, the influence increases or decreases the value of the dependent variable by a multiple linear regression model.

The effects of risk factors on cord blood levels of both infected and non-infected populations were evaluated initially using a two-sample t-test followed by a multiple linear regression model.

Equation (2) can be fitted by a multiple linear regression with t, the time spent in the patch and n the number of items found at time t as an independent variable.

The mean time series of each region was then acquired by averaging the time series of all voxels within that region, followed by a multiple linear regression analysis to remove several sources of spurious variances from estimated head-motion profiles and global brain signal [13].

Additionally we investigated the relation of serum leptin concentrations, age and BMI on ultrasonometry variables by performing a multiple linear regression analyses.

In this study, quantitative structure-activity relationship (QSAR) models using various descriptor sets and training/test set selection methods were explored to predict the bioactivity of hepatitis C virus (HCV) NS3/4A protease inhibitors by using a multiple linear regression (MLR) and a support vector machine (SVM) method.

By using a multiple linear regression analysis with proper time shift, an empirical relation connecting storm-time changes in mass density for 400 km height with the two parameters, ∑Qj and Sym-H, has been worked out for different latitude and sunlight conditions (day-side or night-side).

The efficient use of the spatio-temporal information in the stimulus was determined by performing a multiple linear regression on the bubbles masks (explanatory variables) and the participant's response accuracy (predictor variable).

In a secondary analysis, we investigated whether the counseling format was an independent determinant of the level of understanding by performing a multiple linear regression.