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Question 1 contains the actual values for 12 periods (listed in order, 1-12). In

ID: 3259003 • Letter: Q

Question

Question 1 contains the actual values for 12 periods (listed in order, 1-12). In Excel, create forecasts for periods 6-13 using each of the following methods: 5 period simple moving average; 4 period weighted moving average (0.63, 0.26, 0.08, 0.03); exponential smoothing (alpha = 0.23 and the forecast for period 5 = 53); linear regression with the equation based on all 12 periods; and quadratic regression with the equation based on all 12 periods. Round all numerical answers to two decimal places.

1) The actual values for 12 periods (shown in order) are:

(1) 45  (2) 52 (3) 48 (4) 59  (5) 55  (6) 54  (7) 64  (8) 59  (9) 72  (10) 66  (11) 64  (12) 78

Using a 5 period simple moving average, the forecast for period 13 will be:

2) Using the 4 period weighted moving average, the forecast for period 13 will be:

3) With exponential smoothing, the forecast for period 13 will be:

4) With linear regression, the forecast for period 13 will be:

5) With quadratic regression, the forecast for period 13 will be:

6) Considering only the forecasts for period 6-12, what is the lowest MAD value for any of the methods?

Found it!

Explanation / Answer

1) Using a 5 period simple moving average, the forecast for period 13 will be: 67.8.
[ Forecast for period 13 = (59+72+66+64+78) / 5. ]

2) Using the 4 period weighted moving average, the forecast for period 13 will be: 69.98.
[ Forecast for period 13 = 0.63*72 + 0.26*66 + 0.08*64 + 0.03*78. ]

3) With exponential smoothing, the forecast for period 13 will be: 65.76.
[ Formula : St+1=0.23*yt+(1 - 0.23)*St ,t>0.
Here, S5 = 53.
S6 = 0.23*55 + (1-0.23)*53
S7 = 0.23*54 + (1-0.23)*S6 and so on. ]

Period

Values

5-period MA forecasts

Exponential Smoothing

1

45

2

52

3

48

4

59

5

55

53

6

54

51.8

53.46

7

64

53.6

53.5842

8

59

56

55.97983

9

72

58.2

56.67447

10

66

60.8

60.19934

11

64

63

61.53349

12

78

65

62.10079

13

67.8

65.75761

4) With linear regression, the forecast for period 13 will be: 75.19.
[Select DATA tab - select DATA ANALYSIS - choose REGRESSION - click on OK - select VALUES column in INPUT Y RANGE - select PERIOD column in INPUT X RANGE - Tick the labels - click on OK.
On regressing the actual values on the periods, we get the regression equation :
Values = 44.12 + 2.39*Period
Putting Period = 13, we get the required value. ]

Period

Values

5-period MA forecasts

Exponential Smoothing

1

45

2

52

3

48

4

59

5

55

53

6

54

51.8

53.46

7

64

53.6

53.5842

8

59

56

55.97983

9

72

58.2

56.67447

10

66

60.8

60.19934

11

64

63

61.53349

12

78

65

62.10079

13

67.8

65.75761

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