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The relationship between two variables was computed using Pearson correlation (r) and nonparametric Spearman's rho correlation (rs).
Correlation between two variables was tested by Pearson's correlation method.
Statistical dependence between two variables was tested with Pearson correlation.
The strength of association between two variables was measured using odds ratios and 95% confidence intervals.
Correlation between two variables was assessed using the Spearman rank test.
The strength of the relationship between two variables was calculated using Spearman's rank correlation coefficient, Rho.
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Thus, mutual information as a measure of intricate dynamics and information transfer between two variables is applied for analysis.
Interactions between two variables were analyzed while keeping the other variable at midpoint.
The larger the absolute value of r is, the stronger correlation between two variables is.
The 3D plots for interactions between two variables were presented in Figure 3.
Correlations between two variables were determined with Pearson's correlation analyses.
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