In a time-series decomposition of sales (in millions of units), the following trend has been estimated: CMAT
Question:
CMAT = 4.7 + 0.37(F)
The seasonal indices have been found to be:
Quarter Seasonal Index
1€¦€¦€¦€¦€¦€¦..1.24
2€¦€¦€¦€¦€¦€¦..1.01
3€¦€¦€¦€¦€¦€¦..0.76
4€¦€¦€¦€¦€¦€¦..0.99
For the coming year the time index and cycle factors are:
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a. From this information prepare a forecast for each quarter of the coming year.
b. Actual sales for the year you forecast in part {a) were 17.2, 13.2, 10.8, and 14.2 for quarters 1, 2, 3, and 4, respectively. Use these actual sales figures along with your forecasts to calculate the root-mean-squared error for the forecast period.
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Related Book For 
Business Forecasting With Forecast X
ISBN: 647
6th Edition
Authors: Holton Wilson, Barry Keating, John Solutions Inc
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