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different from zero, and correlation between two parameters was tested according to Pearson's coefficient.
Furthermore Spearman's rank correlation coefficient ρ between two parameters was calculated.
The Pearson correlation test was used to determine whether the correlation between two parameters was significant.
A significant correlation between two parameters was taken at the 95% confidence interval.
Correlation between two parameters was analyzed with Pearson's product moment correlation.
The relationship between two parameters was determined by Pearson's correlation coefficient test.
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The study showed that four out of five main effects as well as an interaction between two parameters were significant.
A moderate correlation between two parameters is observed in the plot of the conditional distribution, whereas no clear correlation is observed in that of the background distribution (Table 3).
Correlations between two parameters were performed using Spearman rank correlation.
Correlations between two parameters were studied using the two-tailed Spearman's rho-test.
Correlations between two parameters were searched for by linear regression analysis.
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