Before calculating a Pearson correlation coefficient, it is advisable to plot the data because
A) one must be sure that the underlying relationship between the two variables is linear.
B) the diagram is more informative than the correlation coefficient regarding causality.
C) one must make sure that the data are from a truncated range.
D) the correlation coefficient cannot show the direction of the relationship.
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