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Path analysis was used to study the relationship between variables.
Their research has enabled others to study the relationship between variables, like personal wealth and consumer spending, in ways not possible before.
Statisticians assess a measure's persistence and its predictive value by examining the coefficient of correlation: the degree of the linear relationship between variables in a pair of distributions.
Before modeling, wavelet coherence transformation (WCT) analysis was conducted to analyze the relationship between variables in the time-frequency domain.
The simplified relationship between variables (patterns) is modeled locally in the neighborhood of the current input using linear regression.
Studying the relationship between variables was done using Spearman correlation.
It can also identify the lead lag relationship between variables.
Figure 4 Relationship between variables in Indonesia sample.
Solid lines, when shown, represent the linear relationship between variables.
Zero value means there is no relationship between variables.
Logistic regression was used to understand the relationship between variables.
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relevance between variables
interrelation between variables
interaction between variables
correlation between variables
relatedness between variables
linkages between variables
interrelations between variables
connections between variables
links between variables
interactions between variables
relationship between applications
relationship between mates
relationship between charities
relationship between parents
relationship between regulators
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