Final answer:
To show the differences between linear and nonlinear sets of bivariate data, you can plot the data points on a scatter plot and observe the pattern of the points. Linear sets form a straight line, while nonlinear sets do not.
Step-by-step explanation:
In bivariate data, linear sets are those that form a straight line when plotted on a graph, while nonlinear sets do not. To show the differences between linear and nonlinear sets of bivariate data, you can plot the data points on a scatter plot and observe the pattern of the points. If the points form a clear straight line, it indicates a linear relationship, whereas a curved or scattered pattern suggests a nonlinear relationship.
For example, let's say you have data on the number of hours studied and the corresponding test scores of a group of students. If the plotted points form a straight line, it suggests that there is a linear relationship between the hours studied and test scores. However, if the points are scattered or form a curve, it indicates a nonlinear relationship.
In summary, the differences between linear and nonlinear sets of bivariate data can be visually observed by plotting the data points on a scatter plot and determining whether the points form a straight line or not.