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There are two possible approaches to linear correlation involving several variables or several dimensions of a multidimensional variable. The first one, which is called multiple (linear) correlation, measures the intensity of the relationship between a response variable and a linear combination of several explanatory variables. The second approach, called partial (linear) correlation, measures the intensity of the linear relationship between two variables, while taking into account their relationships with other variables.

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