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Spearman's rank correlation tests (two-tailed) were used to find significant correlations between two continuous variables.
Pearson's correlation r only assesses the linearity between two continuous variables.
Linear regression analysis was used to explain the relationship between two continuous variables.
Correlation may be used to determine the strength of the link between two continuous variables.
For correlations between two continuous variables, Pearson correlation coefficient r was adopted.
The Pearson's product-moment correlation coefficient (r) was used to assess the relationship between two continuous variables.
For the correlation between two continuous variables, linear regression with Pearson's or Spearman's (for non-parametric) rank test was used.
Spearman correlation coefficient was used to estimate the correlation between two continuous variables.
Pearson and Spearman's rank correlation coefficients were used to assess the association between two continuous variables.
Pearson's r measures the association between two continuous variables.
The relation between two continuous variables were evaluated using Spearman's rank correlation tests.
More suggestions(11)
between two categorical variables
between two continuous subsystems
between two continuous exposures
between two quantitative variables
between two continuous media
between two continuous curves
between two continuous distributions
between two continuous signals
between two dichotomous variables
between two independent variables
between two continues variables
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