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(i) Obtain the trend projection with regression forecast. A convenience store recently started to carry a new brand of soft drink. Management is interested in

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(i) Obtain the trend projection with regression forecast.

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

=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

6

7

8

9

10

11

12

Sales

573

633

656

736

679

627

761

715

710

716

682

750

(i) Obtain the trend projection with regression forecast.

The forecast for week 13 is ___ (Round to the nearest whole number)

(ii.) Now obtain the exponential smoothing forecast.

(iii.) Find the MAD & the 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 Sales 1 573 2 633 3 656 4 736 5 679 6 627 7 761 8 715 9 710 10 716 11 682 12 750 (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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