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Correlation was evaluated by Pearson's correlation coefficients (r) as indicated.
The degree of correlation was evaluated by calculating the Pearson's or the Spearman's rank order correlation coefficient (r).
The significance of the linear correlation was evaluated by comparing the r xy with the two critical values at 95 and 99% confidence level, respectively.
Spatial correlation was evaluated using Mantel tests and correlograms and multiple regression of distance matrices within causal modeling and relative support frameworks.
The correlation was evaluated using a test data set comprising 111 heat capacity values for 12 liquid organic compounds and 3 molten polymers.
Correlation was evaluated among the amount of JE and the concentrations of the total protein and interleukin-1β IL-1β), interleukin-1β IL-1βr necrosis factor-α in the synovial fluid.
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The role of the variables on the samples description and their correlation were evaluated.
In this paper based on the experiment data the Nusselt number (Nu) correlation is fitted firstly and then the uncertainty of such correlation is evaluated.
224 questionnaires using descriptive statistics, chi-square test, Spearman correlation were evaluated.
Item response trend and item-total correlation were evaluated to measure homogeneity.
The strength of these correlations was evaluated using Fisher Z-transformation [ 44].
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