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Which of the following statements is true regarding $r$, the correlation coefficient?
Units must be attached to $r$.
The closer $|r|$ is to $1$, the stronger the linear correlation will be.
The correlation coefficient is used to calculate the strength of both linear and non-linear bivariate relationships.
When switching the dependent and independent variables, $r$ changes to ($1$/$r$).
When multiplying both data sets by a constant $x$, the correlation coefficient increases by the factor of $x$.