Average:

A high correlation is found between these x and y variables; larger values of x are always associated with larger values of y. Note that the y values are about 10 times as large as the corresponding x values; so, although x and y are correlated, they are not identical. The distinction between correlation r

A positive correlation indicates that there is a direct association between variables.

A negative correlation indicates that there is an inverse association between variables.

A strong positive correlation.

A weak positive correlation.

A correlation of zero indicates that there is no association between variables.

A positive correlation indicates that there is a direct association between variables.

A negative correlation indicates that there is an inverse association between variables.

A strong positive correlation.

A weak positive correlation.

A correlation of zero indicates that there is no association between variables.

122.11 The correlation coefficient describes the relation between two or more variables.

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