Sentence examples for predictors to test from inspiring English sources

We related canopy attributes to environmental predictors to test for climate dependencies of tropical canopies and additional impacts of anthropogenic pressure on climate – canopy structure relationships.

We used binary logistic regressions, with species and treatments as predictors, to test four additional flight behaviours: course completion, circling, landing, and returning to release point.

However, in stepwise regression, as in the hierarchical model outlined above, there are often too many predictors to test every combination.

As further independent co-variates SF-36 social functioning, HADS depression, HADS anxiety, CSQ control pain, CSQ decrease pain, CSQ catastrophizing (baseline and change at follow-up for each of the scores) were included as predictors to test the hypothesis.

Pearson correlations between all variables in the study were computed for a preliminary analysis, followed by multiple linear regressions with each of the adjustment measures as outcomes and the risk and protective factors as predictors to test the main, mediation, and moderation hypotheses.

(2010b) approach for comparing whitefish growth rates; we performed an ancova with the different depths as a categorical predictor to test whether the relationship between age and length (i.e., the slope of the growth curves) differs between depths.

Model 2 will adjust for the other predictor variables to test independent associations.

In a first step we calculated a 'null' model with no predictor variables to test whether the mean overall PACIC scores varied significantly across the sample (random-effect with a p-value < 0.05), and assessed the Intraclass Correlation Coefficient (ICC) to quantify similarity within the groups.

In the following steps, we (1) included control and value predictors in order to test main effects on each level, (2) accounted for interaction effects within the same levels while controlling for the main effects and (3) analysed cross-level interactions while controlling for the main effects.

Thus, a predictive analysis of the outcome "institutionalization", using the baseline data as potential predictors, was computed to test H6.

The size of the study was decided based on considerations on the number of predictors to be tested in the predictive model.