Sentence examples for between the corresponding variable from inspiring English sources

r and (b^{OLS}) are the Spearman rank correlation and linear regression coefficient, respectively, between the corresponding variable and either ASY or (varDelta ASY) based rankings.

The elliptical nature of the contour plot indicates the significance of the interactions between the corresponding variables.

The correlations between the corresponding variables (efficiency and usage in six cases) were all significant as well (p < .001).001

where ρ is the correlation between the corresponding variables that describe the coordinates of each location, μ = μ x μ y, and Σ is the symmetric positive definite covariance matrix σ x 2 ρ σ x σ y ρ σ x σ y σ y 2. For the examined scenario, we set the mean vector μ to correspond to the center of the deployment area and the covariance matrix Σ = 1 0.1 0.1 0.5.

A node of the graph represents a variable and an edge represents a direct dependency between the corresponding variables.

All d-separation relations between nodes in a graph imply conditional independence relations between the corresponding variables.

In this presentation, the angle between the radial vector and the horizontal axis represents the magnitude of difference between the corresponding variables, while the distance from the center represents the mean of the two corresponding variables.

A co-mRNA expression or co-miRNA expression network can be constructed by joint sparse regression for estimating the concentration matrix in which off-diagonal elements represents the covariance between the corresponding variables conditional on all other variables in the network [ 66].

This problem can be efficiently solved by calculating a maximum weight spanning tree from a fully connected indirected graph, where vertices are the developmental stages (1,…, L) and the weight of an edge (u, v) is equal to the mutual information between the corresponding variables (X u, X v ) (Chow and Liu, 1968).

Table 2 shows the odds ratios for univariate regression analyses using derivation cohort data of associations between obesity at 10 years of age and the corresponding variable.

Longer lines indicate stronger correlations between a PC (biplot axis and everything related to that) and the corresponding variable.