to check the dependence between veriables we use
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Correlation tests (Pearson correlation) are used to examine relationships between two or more quantitative/numerical variables. They measure the strength and direction of a relationship between variables.
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Pearson correlation (r), which measures a linear dependence between two variables (x and y). It's also known as a parametric correlation test because it depends to the distribution of the data. It can be used only when x and y are from normal distribution. The plot of y = f(x) is named the linear regression curve.
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