When interpreting a correlation coefficient expressing the relationship between two variables, it is important not to:
A) Assume causality
B) Measure the values for X and Y independently
C) Choose X and Y values that are normally distributed
D) Check the direction of the relationship

Question

Quizplus · Accepted Answer

Assuming causality from a correlation coefficient is incorrect because correlation does not imply causation. The correlation coefficient merely indicates the strength and direction of a linear relationship between two variables, not that one variable causes changes in the other.

When Interpreting a Correlation Coefficient Expressing the Relationship Between Two