A convenience store recently started to carry a new brand of soft drink. Management is interested in estimating future sales volume to determine whether it should continue to carry the new brand or replace it with another brand. The following table provides the number of cans sold per week. Use both the trend projection with regression and the exponential smoothing (let x = 0.4 with an initial forecast for week 1 of 604) methods to forecast demand for week 13. Compare these methods by using the mean absolute deviation and mean absolute percent error performance criteria. Does your analysis suggest that sales are trending and if so, by how much? Period Sales 1 2 604 632 3 4 653 730 5 6 640 640 7 729 MAPE 3.97% 8 9 10 11 717 718 730 671 (i) Obtain the trend projection with regression forecast. The forecast for week 13 is 745. (Enter your response rounded to the nearest whole number.) Specify the mean absolute deviation (MAD) and mean absolute percent error (MAPE). (Enter your responses rounded to two decimal places.) MAD 27.08 (ii) Obtain the exponential smoothing forecast. The forecast for week 13 is (Enter your response rounded to the nearest whole number.) 12 743

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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A convenience store recently started to carry a new brand of soft drink. Management is interested in estimating future sales volume to determine whether it should
continue to carry the new brand or replace it with another brand. The following table provides the number of cans sold per week. Use both the trend projection with
regression and the exponential smoothing (let x = 0.4 with an initial forecast for week 1 of 604) methods to forecast demand for week 13. Compare these methods by
using the mean absolute deviation and mean absolute percent error performance criteria. Does your analysis suggest that sales are trending and if so, by how much?
Period
Sales
1
604
2
632
3
4
653 730
5
640
6
7
8
640 729 717
MAPE
3.97 %
9
11
10
718 730 671
(i) Obtain the trend projection with regression forecast.
The forecast for week 13 is 745. (Enter your response rounded to the nearest whole number.)
Specify the mean absolute deviation (MAD) and mean absolute percent error (MAPE). (Enter your responses rounded to two decimal places.)
MAD
27.08
(ii) Obtain the exponential smoothing forecast.
The forecast for week 13 is (Enter your response rounded to the nearest whole number.)
12
743
Transcribed Image Text:A convenience store recently started to carry a new brand of soft drink. Management is interested in estimating future sales volume to determine whether it should continue to carry the new brand or replace it with another brand. The following table provides the number of cans sold per week. Use both the trend projection with regression and the exponential smoothing (let x = 0.4 with an initial forecast for week 1 of 604) methods to forecast demand for week 13. Compare these methods by using the mean absolute deviation and mean absolute percent error performance criteria. Does your analysis suggest that sales are trending and if so, by how much? Period Sales 1 604 2 632 3 4 653 730 5 640 6 7 8 640 729 717 MAPE 3.97 % 9 11 10 718 730 671 (i) Obtain the trend projection with regression forecast. The forecast for week 13 is 745. (Enter your response rounded to the nearest whole number.) Specify the mean absolute deviation (MAD) and mean absolute percent error (MAPE). (Enter your responses rounded to two decimal places.) MAD 27.08 (ii) Obtain the exponential smoothing forecast. The forecast for week 13 is (Enter your response rounded to the nearest whole number.) 12 743
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