Commuter ridership in Athens, Greece, during the summer months is believed to be heavily tied to the number of tourists visiting the city. During the past 12 years, the data in the table at the top of the next page have been obtained.
(a) Use trend analysis to forecast ridership in years 13, 14, and 15. How well does the model fit the data? (b) Draw the relationship between the number of tourists and ridership. Is a linear model reasonable? (c) Develop a linear regression relationship between the number of tourists and ridership.
(d) What is the expected ridership if 10 million tourists visit the city next year?