16. Table P-16 contains data for 23 cities on newsprint consumption (Y) and the number of families in the city (X) during a particular year.

a. Plot newsprint consumption against number of families as a scatter diagram.

b. Is a simple linear regression model appropriate for the data in Table P-16? Be sure your answer includes an analysis of the residuals.

c. Consider a log transformation of newsprint consumption and a simple linear regression model relating (newsprint consumption) to families. Fit this model.

d. Examine the residuals from the regression in part

c. Which model, the one in part b or the one in part

c, is better? Justify your answer.

e. Using the fitted function in part

c, forecast the amount of newsprint consumed in a year if a city has 10,000 families.

f. Can you think of other variables that are likely to influence the amount of newsprint consumed in a year?