Sentence examples for models was low from inspiring English sources

Structural equation modeling revealed that plant community effects on soil microbial properties were mostly due to differences in rooting depth, although the explanatory power of our models was low.

It should be noted that the explained variance of both linear mixed models was low.

Furthermore, the explanatory power of the multivariate models was low, indicating that there are a number of other factors affecting ANC attendance and perinatal outcomes.

However, the explained variance of the final prediction models was low and therefore not useful for clinical practice, and both biomarkers increased the explained variance only marginally (and not statistically significantly for CPII).

However, the proportion of the variation explained by the models was low, and the proportion of the variance in outcome measures explained by the physical exposures was also low.

Given the numerous genetic and non-genetic influences that are linked to depression and the small number of SNPs analysed, it is not surprising that predictability from our models was low (although our predictability was superior to previous studies examining only single main factors).

Note that the number of models is low N m = 11.

However, the VIFs for our models are low, with an average VIF being around 2. As such, multicollinearity is not a large problem in the models.

They predictive power (ability to generate credible predictions) of ln(N t ) and ln(E tT ) models is low based on the adjusted coefficient of determination.

The computational cost of these models is low and they have proven effective in exploring morphodynamic trends and improving our understanding of mesoscale behaviour.

Similarly, for the total protein release, the ANN model was superior to the other models although the R 2 values of all models were low (Table 6, lower panel).