A scatterplot is not so useful for numerical data when the data include many copies. In Exercise 49, there are 50 cases of male customers who paid with cash. That’s 50 pairs of values with     . (a)...

A scatterplot is not so useful for numerical data when the data include many copies. In Exercise 49, there are 50 cases of male customers who paid with cash. That’s 50 pairs of values with
.

(a) What does the scatterplot of Cash versus Sex look like?

(b) Suggest a method for improving the scatterplot that helps you see the association.

(c) Cramer’s
 measures any type of association, but correlation only measures linear association. When you consider the association between the two
 variables in this example, can there be anything other than linear association?