Sentence examples for regression was implemented from inspiring English sources

Univariate median regression was implemented to identify characteristics associated with mean score.

To account for nesting of employees within sites and to model the site-level variables, mixed effects regression was implemented using a random intercepts model.

Binary logistic regression was implemented for multivariable analyses.

Linear regression was implemented via scikit-learn [ 83].

Logistic regression was implemented for analyses of binary outcomes and linear regression for continuous outcomes.

Simple linear regression was implemented to test for trend across sample characteristics at baseline.

Multivariate regression is implemented using regression splines (RS).

First, standard multiple linear regression is implemented to deduce equivalent linear system parameters.

A one-step multiple linear regression is implemented to simultaneously estimate storey stiffness and damping parameters of the superstructure.

Different statistical analyses such as Pearson's correlation, principal components and multiple regression were implemented to analyze the relationship between sediment yield and catchment characteristics and to determine the major factors controlling the variability of sediment yield.

The constrained polynomial regression is implemented by quadratic programming solvers.