Sentence examples for proportions of variability from inspiring English sources

The proportions of variability (effect size) in the ranked dependent variables accounted for by grouping variables were >0.20 (medium per Cohen), indicating a fairly strong relationship between sepsis and the expression levels of hGR protein, cortisol, extracellular HSP72 and 90α, SAPS-III, IL-6, procalcitonin (PCT), age, sex, and mortality (Table 1).

For coding regions, the remarkably high proportions of variability of rps19 were observed in all five Camellia cp genomes.

Among them, the proportions of variability in non-coding regions ranged from 0 to 44.4% with a mean value of 1.79%, which were twice as much as in the coding regions (0.72% on average).

Income, race/ethnicity, floor surface/condition, windowsill PbD, year of construction, recent renovation, smoking, and survey year were significant predictors of floor PbD [the proportion of variability in the dependent variable accounted for by the model (R) = 35%].

The column in between (R) represents the proportion of variability explained in a particular outcome variable by its set of predictor variables.

Furthermore, the R-squared statistic for the model (12.6%), whilst not especially low in the biomedical setting, suggests that the variables we identified only explain a modest proportion of variability.

What these studies allow us to do is estimate the heritability of an outcome - the proportion of variability in the outcome that can be attributed to genetic factors across a population (and therefore also the proportion attributable to environmental factors).

However, the highest proportion of variability in genic regions was 0.251% (rps8) (Fig. 6; Additional file 3).

This had a negligible effect on the proportion of variability and was therefore left out of the final GAM analysis.

Findings also indicated that consultants, teachers, and the corresponding studies accounted for a significant proportion of variability in student outcomes.

We also found that there was a lower rate of fractures in rural and less densely populated municipalities, and that place of residency affected the proportion of variability.