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1. Acomputer softwarefirmhasexperiencedthefollowing demandforitsPersonalFinance softwarepackage: Period Units 1 56 2 61 3 55 4 70 5 66 6 65 7 72 8 75 Developanexponentialsmoothingforecast,using=0.40,andanadjusted exponentialsmoothing

1. Acomputer softwarefirmhasexperiencedthefollowing demandforitsPersonalFinance softwarepackage:

Period

Units

1

56

2

61

3

55

4

70

5

66

6

65

7

72

8

75

Developanexponentialsmoothingforecast,using=0.40,andanadjusted exponentialsmoothing forecast,using=0.40and=0.20.Compare theaccuracyofthetwo(2)forecastsusingMAD andcumulativeerror.

2. A local building products store has accumulated sales data for two-by-four lumber (in board feet)andthenumberofbuildingpermits initsareaforthepast10quarters:

Quarter

BuildingPermits,

Lumber Sales(1,000sofbd.

ft.),

1

8

12.6

2

12

16.3

3

7

9.3

4

9

11.5

5

15

18.1

6

6

7.6

7

5

6.2

8

8

14.2

9

10

15.0

10

12

17.8

Develop a linear regression model for these data and determine the strength of the linearrelationship by using correlation. If the model appears to be relatively strong, determine theforecastfor lumber,given10building permitsinthenextquarter.

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