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).
Findings also indicated that consultants, teachers, and the corresponding studies accounted for a significant proportion of variability in student outcomes.
Research questions were twofold: (a) Do consultants produce consistent and sizeable positive student outcomes across their cases as measured through direct and frequent assessment? and (b) What proportion of variability in student outcomes is attributable to consultants?
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.
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.
The latter reveals the proportion of variability in a meta-analysis that is the result of between-study variation and not error within studies due to random sampling.
Linear mixed-effects models were used to estimate the proportion of variability in child outcomes attributable to the study site, care setting, and child levels and institutional versus community care settings.
