Please consider the following information:
Adj. se asonal index Actual sales Deseasonalized sales
January 0.8 836
February 0.8 825
March 1.1 1220
April 1.2 1319
May 1 1020
June 1.1 1184
July 0.8 685
August 0.7 641
September 0.9 875
October 1.1 1008
November 1.2 1068
December 1.3 1141
January 0.8
February 0.8
March 1.1
April 1.2
Use the adjusted seasonal indexes to first deseasonalize the sales data for Year 1 and then use linear regression analysis to forecast (deseasonalized) sales for January, February, March and April of Year 2. Then calculate seasonalized forecasts for these same months. Based on your calculations,
1. What are deseasonalized sales for May of Year 17?
2. What are deseasonalized sales for December of Year 17?
3. What is the *deseasonalized* sales forecast for February of Year 2?
4. What is the *seasonalized sales* forecast for March of Year 27?
5. What is the *deseasonalized sales* forecast for April of Year 2?
6. What is the *seasonalized sales* forecast for April of Year 2?
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Ответ:
Inventory TO9
Gross profit percentage: 55%
Explanation:
Inventory Turnover
where:
COGS 17,100
beginning: 1,800
ending: 2,000
Average Inventory: 1900
Inventory TO9
Gross profit percentage:
Gross profit percentage: 0.55 = 55%