Sentence examples for between explanatory variables was from inspiring English sources

Concurrently, a two-by-two control procedure for interaction terms between explanatory variables was applied.

Collinearity between explanatory variables was assessed.

Multicollinearity between explanatory variables was assessed using Pearson's correlation or Spearman's rank correlation, where applicable, and correlation below r=0.6 was deemed acceptable.

Hypothesised interactions between explanatory variables were assessed in separate models by including an interaction term.

For reasons of practicality in both analysis and interpretation, only 2-way interactions between explanatory variables were examined.

Cross-level interactions between explanatory variables were also investigated by allowing the slope to vary across individual doctors.

Correlations between explanatory variables were also assessed using Pearson's correlation coefficient to identify groups of variables tending to capture the same phenomena.

The following significant and strong inter-correlations between explanatory variables were found: Gender is strongly correlated with handgrip strength (r pbi  = 0.77; P bonf  < .002).002

Correlations between explanatory variables were also tested and the highest relationship was found between age and income (r = 0.40); the rest of the correlation coefficients were less than 0.30.

The interaction terms between the explanatory variables was also significant, indicating that the difference between edges and centres is more pronounced in organic fields.

No significant interaction between the explanatory variables was found.