Sentence examples for models determined that from inspiring English sources

Bayesian logistic regression models determined that social factors had a greater influence on the probability of native grassland destruction than environmental variables (i.e. soil type, distance to stream).

Flow tests using scale models determined that actual water flows in floods occurring in 1844 and 1903 could not possibly have been as high as were estimated using instruments of the time.

To put this into perspective: if an insurance company's models determined that an area did in fact have a 2% annual risk of fire, then the company would need to charge a premium of at least 2% of the total policy coverage (e.g., $20,000 per year for a $1,000,000 home) and that doesn't account for other risks, such as earthquakes or flooding.

Multiple linear regression models determined that bryophyte species richness was significantly correlated with increased areas of water and rocks, increased areas of restricted entry, and the presence of maintenance practices; grass cover, on the other hand, was negatively correlated with bryophyte species richness.

Multivariate models determined that three covariates wearing gloves, acres treated, and repairing equipment were consistently predictive of exposure (Table 7).

These models determined that PB caused an increase in oleic acid at days 3, 7 and 14 and an increase in cis-5,8,11,14,17-eicosapentaenoic acid at days 7 and 14.

In concordance with this, the SCR logical rules of our A and B models determine that SCR expression is lost if JKD is not present.

One model determined that NetLogo can generate a hierarchical model of thousands of highly interconnected teams.

The model determined that in this case, the NRCS soil survey map explained less than 1% of the yield variation and was therefore dropped from the model.

Also, the trip distance model determined that females preferred a shorter walking distance compared with males.

Our model determined that energy consumption is reduced by up to 6.1% when multiple energy savings technologies are combined.