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Demand for 5 weeks of jobs at a carpet-cleaning business is shown below. Use linear regression to create a trend equation for this time-series. Week

  1. Demand for 5 weeks of jobs at a carpet-cleaning business is shown below. Use linear regression to create a trend equation for this time-series.
Week (X)

Demand

(Y)

1 55
2 60
3 41
4 35
5 20

The trend equation is:

  1. Y = 70.7 + 9.5X
  2. Y = 70.7 + 2.5X
  3. Y = 70.7 - 9.5X
  4. Y = -70.7 - 2.5X

Use the following table for question 2

Week Monday Tuesday Wednesday Thursday Friday
1 8 15 25 13 2
2 12 25 34 17 7

2. Compute and report Wednesday's Seasonal Factor.

  1. 0.37
  2. 0.24
  3. 0.19
  4. 0.42

3.Assume 5 years of monthly data was used to create a seasonally-adjusted forecasting model. Trend equation for the 5 years was found to be: y = 85 + 3.7X. Seasonal factors are reported in the table below. Compute a seasonally-adjusted forecast for quarter 2 of year 7.

QTR1 QTR2 QTR3 QTR4
0.24 0.45 0.15 0.1

  1. 49.9
  2. 110.9
  3. 45.0
  4. 23.1

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