Sentence examples for models explained a from inspiring English sources

Both science models explained a significant amount of effect-size heterogeneity, as respectively indicated by QM 3) = 18.9, p <.05 and QM 2) = 13.8, p <.05.

Both models explained a significant amount of heterogeneity in the math gaps, as indicated by QM 3) = 16.3, p <.05 and QM 2) = 8.0, p <.05, respectively.

First, though all models explained a significant amount of variability in effects (as shown by QM), all model fit tests (QE results) were very large and statistically significant.

The final regression models explained a high degree of variance in predicting isokinetic shoulder flexion (R2 = 0.59) and extension (R2 = 0.67) with a subset of four and five inputs, respectively.

We show that, compared to photosynthesis estimated from eddy covariance at the sites, the simple model produced comparable results to the complex model: both models explained a similar proportion of daily variability in photosynthesis (mean R2 = 0.78 for ACM, 0.77 for SPAc), and had similar model error (mean RMSE = 2.89 g m−2 d−1 for ACM, 3.20 g m−2 d−1 for SPAc).

Moreover, two models that often describe spatial abundance occupancy relationships well, the He Gaston and negative binomial models, explained a high amount of the variation in our temporal data.

Additionally, our models explain a novel concept for partial agonism, termed dynamic ligand binding.

Therefore, it is advisable that each of the studied models explains a unique pathway in the development of hypertension.

The individual study area-based models also improved with the addition of habitat variables, with some models explaining a higher percentage of the variance in chlorophyll.

Our models explain a moderate (32%and43%3% for overall satisfaction and trust in the company respectively) to a high amount of total variance (76% for complaint satisfaction).

When other antecedent and concurrent seasonal conditions are included as predictors, the combined seasonal models explain a significant and large proportion of the variance in coccidioidomycosis incidence.