Sentence examples for between variables for all from inspiring English sources

Finally, correlations between variables for all respondents were assessed by using the Spearman rank test.

The effects of the conditional relationships between variables for all samples of a given class are directly visible in these graphs.

To determine appropriate predictors of exposure, we tested different variables in the logistic regression models, allowing for interactions between variables (for a detailed description of the variables, see Section  3.3).

This is consistent with Tables 4 and 5. Table 8 adds the interaction terms between variables for adult children and children under 18 into regressions.

The first step in multivariate statistical analysis is to establish relationships between variables for the physico-chemical and chemical data of the study area.

None of the variables showed strong correlation with any other variables while referring to more than 0.85 as a high degree of relationship (correlation coefficient, r > 0.85) between variables for multicollinearity [24].

What becomes really interesting is the inter-play between variables, for example, in rural areas by gender, ethnicity or language and poverty.

RF is an elegant and powerful algorithm allowing the extraction of additional relevant knowledge from omics data, such as conditional relations between variables and interactions between variables for subsets of samples.

Significant main effects were observed for all dependent measures (BDI, OVIS, YBOCS, and Sheehan Disability Scale) for depressed vs. non-depressed participants and BDD status; significant interactions were observed between independent variables for all dependent measures.

Figure 4 graphically represents the match between both outcome variables for all test implants.

However, there is also a positive correlation between the two variables for all groups for which we have two or more data points (Plants: r = 0.74, P = 0.056; Drosophilidae: r = 0.55, P = 0.63; Mammals: r = 1.00, P not given because there are just two data points), suggesting that differences between taxonomic groups may obscure a significant correlation within the groups.