Question
The data in the table below are for retail sales in book stores by quarter. ( c3p13 ) U.S. Retail Book Sales (in Millions of
The data in the table below are for retail sales in book stores by quarter. (c3p13)
U.S. Retail Book Sales (in Millions of Dollars, NSA)
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.
How do i do this in excel?The data in the table below are for retail sales in book stores by quarter. (c3p13)
U.S. Retail Book Sales (in Millions of Dollars, NSA)
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.
How do i do this in excel?
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