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Date Sales Mar-02 1,866 Jun-02 1,666 Sep-02 2,351 Dec-02 2,455 Mar-03 2,169 Jun-03 1,815 Sep-03 2,498 Dec-03 2,637 Mar-04 2,326 Jun-04 2,020 Sep-04 2,858 Dec-04

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

a. 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?

b. Use an exponential smoothing method to forecast the next four quarters. Plot the actual and forecast values.

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