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Correlation between variables was expressed as R2 (linear regression analysis).
In this case, the extent of the association between variables was expressed as the b coefficient.
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Correlation between variables were expressed by Spearman's rho test.
Relationships between variables were expressed using Spearman correlation coefficients.
Associations between variables were expressed as odds ratios (OR) and 95% confidence intervals (95% CI).
The strength of linear correlations between the variables was expressed by the linear regression coefficient (r) and its squared value r2.
Correlation between numerical variables was expressed using Spearman's correlation coefficient.
Correlation between numeric variables was expressed by Spearman correlation coefficient, and the null hypothesis was tested (coefficient = zero).
The degree of association between the lifestyle variables was expressed by the Spearman rank correlation coefficient (rs).
The strength of the relationship between the variables is expressed as a figure between 0 and 1.
The dependencies between these variables are expressed by arrows in the network indicating the relation between any variable X i (such as R j or U k ) and its direct causal antecedents denoted as parents (X i ).
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