Spearman's coefficient of rank correlation, denoted as ρ is a nonparametric measure of statistical dependence between any two ranked variables, which are assumed to have a monotonic relationship.
Intra-class correlation, denoted by ρ, is a coefficient with values ranging from 0 to 1 and is calculated as the ratio of the variance at the sub-level to the total variance [23, 50, 51] as given in Eq. (6): rho = frac{{sigma_{text{sub - level }} ^{2 }}{{sum sigma^{2} }}.
Pr (Higher correlation) and Pr (Lower correlation) denote the "Higher" and "Lower" correlation probabilities, respectively [11].
To evaluate associations between two ordinal variables, Spearman rank-order correlation, denoted by rs, was used.
We also calculated the correlation (r tbvp, tbvc ) between TBVP and TBVC, which is known as the purebred-crossbred genetic correlation, denoted as r pc by Wei and Vanderwerf [ 17].
Convergent validity is measured as correlations between the same construct measured with different raters, and discriminant correlations denotes correlations between different constructs measured either by the same rater or by different raters.
(6) The Waterfall and Agile methodologies have slight negative correlations, denoting that if one is used in a company, the other will less likely to be used.
All correlations denoted with * are significant.
Negative correlations are consistent with the expected, faster degradation of target mRNAs, whereas positive correlations denote the existence of feed-forward regulations mediated by transcription factors.
