Sentence examples for predictors to explain from inspiring English sources

Topography, soil type, and population variables were the most important predictors to explain substantial spatial variation in abandonment rates.

The wide range of adoption times revealed, and the lack of simple predictors to explain this variance, suggest that factors other than condition/class and order of entry affect a healthcare system's response to the introduction of new medicines.

In observational studies, model selection procedures are commonly applied in order to find a parsimonious combination of predictors to explain some phenomenon of interest (Miller 1984; Quinn and Keough 2002).

In addition, the relevancy of predictors to explain SB was assessed with a pseudo-R statistic which is interpreted as a proportional reduction in variance for the parameter estimate that results from the use of one model as compared to a previous one [ 34].

In addition to this azimuth predictor, we also constructed a predictor to explain the variance caused by the general auditory response to sound independent of sound position.

Although the p-value, as we stressed in the Methods section, is more related to the ability of the predictor to explain the outcome variability than to the predictive ability, its value for the interaction term (0.0499) seems to support the existence of an interaction.

To this end, we develop a model including the predictor factors to explain the internationalization speed of EBS.

Multimodel Inference also provided a way of ranking the importance of predictor sets to explain the distribution of the test species and to generate a robust spatial prediction of regional potential distribution (Vicente et al. 2010).

To estimate the weight of evidence of each predictor (wpi) to explain the frequency of extinction and colonisation, we simply summed the model AICs weights (wi) over all models in which predictor appeared.

This continuation ratio approach used a linear predictor, ηk, to explain the probability of continuing to a higher category, conditional on reaching a certain ordinal level.

For the power analysis for the multiple linear regression analysis, making the assumption of including up to 13 predictor variables to explain a medium-sized squared multiple correlation (R2 = 0.13) with alpha of 0.05 (2-tailed) and desired statistical power of 0.80 requires a sample size of 149.