Over a two-year period, the Topper Company sold the following numbers of lawnmowers:Month: 1 2 3 4 5 6 7 8 9 10 11 12Sales: 238 220 195 245 345 380 270 220 280 120 110 85Month: 13 14 15 16 17 18 19 20 21 22 23 24Sales: 135 145 185 219 240 420 520 410 380 320 290 240a. In column A input the numbers 1 to 24 representing the months and incolumn B the observed monthly sales. Compute the three-month moving-averageforecast and place this in the third column. Be sure to align your forecast with theperiod for which you are forecasting (the average of sales for months 1, 2, and 3should be placed in row 4; the average of sales for months 2, 3, and 4 in row 5; andso on.) In the fourth column, compute the forecast error for each month in whichyou have obtained a forecast.

Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter7: Nonlinear Optimization Models
Section: Chapter Questions
Problem 63P
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Over a two-year period, the Topper Company sold the following numbers of lawn
mowers:
Month: 1 2 3 4 5 6 7 8 9 10 11 12
Sales: 238 220 195 245 345 380 270 220 280 120 110 85
Month: 13 14 15 16 17 18 19 20 21 22 23 24
Sales: 135 145 185 219 240 420 520 410 380 320 290 240
a. In column A input the numbers 1 to 24 representing the months and in
column B the observed monthly sales. Compute the three-month moving-average
forecast and place this in the third column. Be sure to align your forecast with the
period for which you are forecasting (the average of sales for months 1, 2, and 3
should be placed in row 4; the average of sales for months 2, 3, and 4 in row 5; and
so on.) In the fourth column, compute the forecast error for each month in which
you have obtained a forecast.

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