When considering a curvilinear relationship between two variables, it is important to recognize that
A) the strength of the relationship is underestimated by the correlation coefficient.
B) there is no relationship on which to base generalizations.
C) by virtue of fitting a straight line, a perfect prediction is possible.
D) one must be tentative in making causal statements.
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