The data in the table below are for retail sales in book stores by quarter.

U.S. Retail Book Sales (in Millions of Dollars, NSA)

Date	Sales		Date	Sales		Date	Sales
Mar-02	1,866		Mar-07	3,197		Mar-12	3,983
Jun-02	1,666		Jun-07	2,575		Jun-12	3,132
Sep-02	2,351		Sep-07	3,290		Sep-12	4,328
Dec-02	2,455		Dec-07	3,693		Dec-12	4,007
Mar-03	2,169		Mar-08	3,273		Mar-13	3,969
Jun-03	1,815		Jun-08	2,713		Jun-13	3,257
Sep-03	2,498		Sep-08	3,514		Sep-13	4,824
Dec-03	2,637		Dec-08	3,794		Dec-13	4,129
Mar-04	2,326		Mar-09	3,480		Mar-14	4,298
Jun-04	2,020		Jun-09	2,943		Jun-14	3,312
Sep-04	2,858		Sep-09	3,654		Sep-14	4,811
Dec-04	2,915		Dec-09	4,108		Dec-14	4,336
Mar-05	2,725		Mar-10	3,628		Mar-15	4,261
Jun-05	2,283		Jun-10	3,203		Jun-15	3,278
Sep-05	3,134		Sep-10	4,051		Sep-15	4,991
Dec-05	3,066		Dec-10	4,010		Dec-15	4,447
Mar-06	2,876		Mar-11	3,719
Jun-06	2,445		Jun-11	3,084
Sep-06	3,190		Sep-11	4,234
Dec-06	3,407		Dec-11	4,073

1. Plot these data and examine the plot. Does this view of the data suggest a particular smoothing model? Do the data appear to be seasonal? Explain.
2. Use an exponential smoothing method to forecast the next four quarters. Plot the actual and forecast values.