Explain the relationship between the correlation coefficient
(i.e., r) and the closeness of the points on a scatterplot to the
regression line. Next, explain the relationship between the
correlation coefficient and the amount of error when making
predictions (e.g., predicting the value of first variable based on
the value of the second variable). Both of your explanations must
address when the correlation coefficient is a strong positive
correlation and when the correlation is a weak positive
correlation.