True or False?
A. Correlation always implies causation.
B. If a correlation is negative, then as it becomes even more negative, [tex]r^2[/tex] increases.
C. If the units used to measure the [tex]\mathrm{X}[/tex] variable change (like from inches to centimeters), but the same data are analyzed, then the value of [tex]r[/tex] will not change.
D. As [tex]|r|[/tex] increases, the average deviation of data from the predicted value (according to the best-fit regression line) increases.
