Sentence examples for bivariate multiple regression model from inspiring English sources

The most salient of these decompositions is based on the bivariate multiple regression model that explains both variables simultaneously.

However, two criticisms may be made of the two-dimensional decomposition analysis based on the bivariate multiple regression model.

Furthermore, we computed the two-dimensional simultaneous decomposition based on the bivariate multiple regression model, since this model is equivalent to the reduced form of the SEM.

The most salient of these decompositions is based on the bivariate multiple regression model that explains health and socioeconomic status simultaneously.

This shows that, using a SEM regression approach, we end up with decomposition (III) based on the bivariate multiple regression model.

As a result, the above analysis answers to the criticisms of the bivariate multiple regression model and the resulting decomposition (III).

As a result, for the two-dimensional decomposition, a bivariate multiple regression modeling framework was chosen which includes neither health nor socioeconomic status as an explanatory variable.

Both specific gravity adjusted and unadjusted urinary BPA concentrations were reported in the univariate analyses, while log-transformed unadjusted BPA concentrations were used in the bivariate and multiple regression models to correct for departures from normality of the regression residuals.

Associations yielding a p value of less than 0.10 in bivariate analyses were considered for the multiple regression model.

In the first step, screening bivariate ordinal logistic regression analyses were performed to identify candidate variables for the final multiple regression model.

In order to study the significant variables simultaneously a multiple regression model was adopted, including all explanatory variables that were significant in the bivariate analyses.