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A large absolute value of covariance means that there is a strong linear dependence between the two variables and vice versa.
The Pearson product-moment correlation strategy was utilized as part of this study to quantify the degree of linear dependence between the two variables.
Hence, it measures the dependence between the two variables; I(X u, X v ) = 0 if both variables are independent.
Correlations between histological subtype according to the 2004 WHO classification and Masaoka Koga stage were evaluated using a nonparametric measure of statistical dependence between the two variables.
Negative Spearman rank correlation coefficients of -0.09 (P = 0.9) and -0.43 (P = 0.4) in sheep and goats respectively were estimated and these suggested lack of dependence between the two variables (ρ and sero-prevalence).> PPR is an emerging and geographically spreading disease of small stock particularly in Africa and Asia.
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It can be shown that the following inequality for the joint entropy must always apply, H[X,Y]≤H[X]+H[Y], with equality if and only if X and Y are independent variables p xi,yj) = p xi p yj), i.e. the joint entropy will always be less than the sum of the individual entropies if there is any dependence, or correlation, between the two variables.
Thus, in spite of the presumable independence between the geometrical form of the trajectory and the velocity of movement along the path, evidence has accumulated pointing to the inherent dependence between these two variables during human and monkey movements.
We create a composite variable (or integrated variable), corresponding to the union of geology and surficial formation, in order to avoid the conditional dependence between these two variables and to build a geotechnical variable.
In the first approach, some authors have used a second-order polynomial to explore possible non-linear dependence between these two variables (e.g. Fabrizi and Mussida 2009; Constant and Zimmermann 2014).
In this way, each patient had two new variables, one representing dysregulation in the electrolyte system and the other representing dysregulation in the vitamin system, and we calculated the correlation between the two variables to measure the dependence level between the two system‐specific dysregulation processes.
As is to be expected, there is a positive connection between the two variables.
More suggestions(10)
dependence between the two estimators
dependence between the two loci
dependence between the two quantities
dependence between the two events
dependence between the two types
dependence between the two sources
dependence between the two species
dependence between the two indices
dependence between the two signals
dependence between the two observations
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