Sentence examples for multiple explanatory variables from inspiring English sources

These are modeled by means of multiple explanatory variables such as rain rate and distance from radar.

Moreover, few studies have tested spatial relationships between the prevalence of physical inactivity and multiple explanatory variables to identify potential sources of social and environmental justice at the community level of analysis.

In addition, we recognize that most researchers are interested in more complex questions, typically involving regression models that consider multiple explanatory variables simultaneously.

For instance, Girosi and King (2008) and King and Soneji (2011) use Bayesian inference to forecast age-specific mortality (by cause of death) as a dependent variable that is influenced by multiple explanatory variables like sex, location, and GDP.

In this paper, we provided a reconciliation of these seemingly contradicting results and showed that multiple explanatory variables had a significant effect on AGB and were interrelated to one another.

A prototypical three-way case is the segregation index of a set of industries or departments given multiple explanatory variables of both sex and race.

A multiple explanatory variable regression model was developed for normalized MFR and normalized CA. The methods presented in this paper provided sufficient precision to estimate the effects of vacuum (both at teat-end and in the liner mouthpiece), pulsation, and liner compression on CA, as an indicator of teat-end congestion, during the peak flow period of milking.

Next, multiple-explanatory-variable logistic regression analysis was performed.

No sex-related differences in rescue analgesic use were found in our study in multiple-explanatory-variable models.

To determine the risk factors for rescue analgesic administration, we used single- and multiple-explanatory-variable logistic regression models.

Single- and multiple-explanatory-variable logistic regression models were obtained with analgesic use as the outcome variable (1, used; 0, not used).