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There is no linear link between two variables if the correlation coefficient is zero. This only applies to linear relationships, though. The variables might be strongly correlated along a curved path.

A measure of linear correlation between two sets of data is the Pearson correlation coefficient, commonly referred to as Pearson's r, the Pearson product-moment correlation coefficient, the bivariate correlation, or simply the correlation coefficient.

The degree and direction of the linear link between x and y are revealed by the correlation coefficient or r. However, the number of observed data points in the sample also affects how reliable the linear model is.

Three crucial characteristics define correlations: They can provide information regarding the nature (shape), direction, and intensity (degree) of the link between two variables.

To know more about correlation coefficient refer to:  https://brainly.com/question/12400903

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