Sentence examples for variable selection in multiple regression from inspiring English sources

For variable selection in multiple regression analysis, we considered a p value of 0.10 to indicate statistical significance.

The variable selection procedure used in multiple regressions always selected depth among the significant explanatory variables accounting for variations in body size and density, with which depth was always negatively correlated (Table 1).

Discriminant analysis with Tree Classifiers was used to select explanatory variables in multiple regression analysis.

The effect of multiple independent variables on the dependent variables was studied in multiple regression.

Independent variables were divided into client and project variables and examined in multiple regression models.

A heuristic method for estimating the relative weight of predictor variables in multiple regression.

All possible variables were included in multiple regression analysis.

A mathematical model for variable selection in functional linear regression models with scalar response is proposed.

She is also interested in variable selection in regression models.

The first one popular for variable selection in linear regressions is cross-validation [20], pp. 241-249.

In models fitted using univariate variable selection followed by multiple regression, relaxing the significance threshold for inclusion of a SNP in the model quickly led to more SNPs reaching the threshold than there are observations in the data.