We should do a scatterplot of the data when we compute a correlation because the scatterplot allows us to a. visually determine whether a relationship is likely to exist (along with a best fit line) in the population from which the sample is taken. b. predict accurate Y scores for known X scores. c. determine the exact value of the correlation coefficient. d. see the particular relationship and map out the best way to summarize it.
