Sentence examples for between the variables indicating from inspiring English sources

When we examined interaction terms between the variables indicating presence of a mandate and the variables indicating membership in these groups, the coefficients of the interaction terms were positive.

The correlation coefficients were 0.94, (nmol/mg/0 2 min) and 0.98, (nmol/0.5 – 2 mg/min) between the variables, indicating good linearity of the assay [see Additional file 1 and 2].

There were no significant interactions between the variable indicating if a woman identified as Aboriginal and any of the covariates described.

We tested for any significant interactions (p<0.05) between the variable indicating if a woman was Aboriginal and all other covariates in both the logistic regression and Cox proportional hazards regression.

To arrive at the final model, interaction terms between the variable indicating the geographic area of patients and each significant factor were tested to assess whether the effect of the factor on the BACS severity score was different between geographic areas.

If this ratio is less than 0.25, the variables have strong spatial dependence; if the ratio is between 0.25 and 0.75, the variables indicate moderate spatial dependence; and if it is greater than 0.75, the variables show a weak spatial dependence (Mehrjardi et al. 2008).

It is clearly seen that there is a positive and stable relationship between the two variables, indicating that the assumption adopted in the model is supported by the data.

When ϕ = 0 there is no association between the two variables, indicating that the two levels of replicability in the two continents under study were consistent (e.g. a replicability of 70% in European and 70% in East Asian populations).

In general, the results suggest a small inverse correlation between the two variables, indicating that as the number of teachers' misconceptions increase, students' post-instruction BEL Survey mean index scores decrease and, as the number of teachers' misconceptions decrease, students' post-instruction BEL Survey mean index scores increase.

In addition, statistical analysis revealed a significant interaction effect between the two variables, indicating that the combination of increased duration of exposure and higher DCA concentrations causes a more severe decline in cell health than changes in either variable alone (p < 0.037).

The former describes the relation between the obvious variables and the potential variables, indicating the observable variables of the potential variables [10].