GB513 Unit 5 Assignment Latest 2017 May

Question # 00539045 Posted By: katetutor Updated on: 06/03/2017 12:59 AM Due on: 06/03/2017
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Unit 5: Assignment


This Assignment requires you to use Excel.

Make sure to use the Unit 5 Assignment template located in Course Resources when you turn in your answers.

Question 1

Determine the error for each of the following forecasts. Then, calculate MAD and MSE.

Period

Value

Forecast

Error

1

202

2

191

202

3

173

192

4

169

181

5

171

174

6

175

172

7

182

174

8

196

179

9

204

189

10

219

198

11

227

211

Question 2

The U.S. Census Bureau publishes data on factory orders for all manufacturing, durable goods, and nondurable goods industries. Shown here are factory orders in the United States over a 13-year period ($ billion).

First, use the data to develop forecasts for years 6 through 13 using a 5-year moving average.

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Unit 5 [GB513: Business Analytics]



Then, use the data to develop forecasts for years 6 through 13 using a 5-year weighted moving average. Weight the most recent year by 6, the previous year by 4, the year before that by 2, and the other years by 1.

Answer the following questions:

a) What is the forecast for year 13 based on the 5-year moving average?

b) What is the forecast for year 13 based on the 5-year weighted moving average?

c) What is the MAD for the moving average forecast?

d) What is the MAD for the weighted moving average forecast?

e) Which forecasting model is better?

Year

Factory

orders

1

2,512.70

2

2,739.20

3

2,874.90

4

2,934.10

5

2,865.70

6

2,978.50

7

3,092.40

8

3,052.60

9

3,145.20

10

3,114.10

11

3,257.40

12

3,654.00

13


Question 3

The “Economic Report to the President of the United States” included data on the amounts of manufacturers’ new and unfilled orders in millions of dollars. Shown here are the figures for new orders over a 21-year period.

Use the charting tool in Excel to develop a regression model to fit the trend effects for the data. Use a linear model and then try a polynomial (order 2) model. Make sure the charts show the line formula and the r-squared value. Include both charts in your report. Then, answer the following question:

? How well does either model fit the data? Which model should be used for forecasting? Explain using the relevant metrics.

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Unit 5 [GB513: Business Analytics]


Year

Total Number

of New Orders

1

55,022

2

55,921

3

64,182

4

76,003

5

87,327

6

85,139

7

99,513

8

115,109

9

116,251

10

121,547

11

123,321

12

141,200

13

162,140

14

168,420

15

171,250

16

176,355

17

195,204

18

209,389

19

237,025

20

272,544

21

293,475

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Unit 5 [GB513: Business Analytics]



Directions for submitting your Assignment

Make sure to use the Unit 5 Assignment template from Course Resources when you turn in your answers. Submit your Assignment to the Unit 5 Dropbox.

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