Estimate the deseasonalized demand in each of given months

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Reference no: EM13897017

The following data show the number of laptop computers sold each month at a retail store:

Month	Unit Sales
January	200
February	230
March	225
April	240
May	210
June	180
July	160
August	310
September	320
October	270
November	250
December	300

Use the above data:

a. Using the average demand for the year as the base, compute a seasonal index for each month.

b. Use regression to estimate the deseasonalized demand in each of the given months. Using these base values, compute a seasonal index for each month.

c. Are the seasonal indexes computed in parts a and b the same or different? Why?

d. Using the regression model and the seasonal indexes you computed in part b, compute a seasonally adjusted forecast for January, February, March, April, and May of the next year.

Reference no: EM13897017

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