brand Managemen nterested in estin ing luture sales voluf to delern y the hew bran ace 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 a = 0.4 with an initial forecast for week 1 of 573) 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 3 4 5 7 8 9 10 11 12 Sales 573 617 645 730 664 635 735 692 743 722 679 747 (i) Obtain the trend projection with regression forecast. The forecast for week 13 is (Enter your response rounded to the nearest whole number.)
brand Managemen nterested in estin ing luture sales voluf to delern y the hew bran ace 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 a = 0.4 with an initial forecast for week 1 of 573) 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 3 4 5 7 8 9 10 11 12 Sales 573 617 645 730 664 635 735 692 743 722 679 747 (i) Obtain the trend projection with regression forecast. The forecast for week 13 is (Enter your response rounded to the nearest whole number.)
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Question
Find the mean absolute deviation (MAD).
Find the mean absolute percent error (MAPE).
(ii) Now obtain the exponential smoothing
Find the mean absolute deviation (MAD).
Find the mean absolute percent error (MAPE).
![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 a = 0.4 with an initial forecast for week 1 of 573) 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
1
2
3
4
5
7
8
10
11
12
Sales
573
617
645
730
664
635
735
692
743
722
679
747
(i) Obtain the trend projection with regression forecast.
The forecast for week 13 is
(Enter your response rounded to the nearest whole number.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fd7e36761-bf76-4451-b720-d33a3bbffa05%2F5f90d91d-f0d9-42e4-9d25-dd706aa94a3b%2Flc5t66f_processed.png&w=3840&q=75)
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 a = 0.4 with an initial forecast for week 1 of 573) 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
1
2
3
4
5
7
8
10
11
12
Sales
573
617
645
730
664
635
735
692
743
722
679
747
(i) Obtain the trend projection with regression forecast.
The forecast for week 13 is
(Enter your response rounded to the nearest whole number.)
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a) Compute the forecast for week 13:
VIEWFormulae to determine the regression equation:
VIEWCompute MAD and MAPE using regression analysis:
VIEWFormulae to determine MAD and MAPE:
VIEWb) Compute MAD and MAPE using exponential smoothing:
VIEWFormulae to determine MAD and MAPE using exponential smoothing:
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