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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.

Operation Management, Management Studies

  • Category:- Operation Management
  • Reference No.:- M91571049

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