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Chapter 11







                  Question 5




                  Moving averages

                  A time series analysis of past sales units shows the following actual and trend
                  figures. Calculate the seasonal variations for the data given and use the
                  information to predict a sales unit value for December.

                                                Y = T + S
                                            Actual/prediction                         3 point average
                         Month                     (Y)              3 point total            (T)
                          Jan                      107
                          Feb                      176                   480                160
                          Mar                      197                   555                185
                          Apr                      182                   630                210
                          May                      251                   705                235
                          Jun                      272                   780                260
                           Jul                     257                   855                285
                          Aug                      326                   930                310
                          Sep                      347                  1005                335
                          Oct                      332                  1080                360
                          Nov                      401
                          Dec

                                 Y = T + S                                            S = Y - T
                             Actual/prediction     3 point      3 point average       Seasonal
                  Month             (Y)              total             (T)           variation (S)
                    Jan             107
                   Feb              176              480               160                 16
                   Mar              197              555               185                 12
                    Apr             182              630               210                -28
                   May              251              705               235                 16
                    Jun             272              780               260                 12
                    Jul             257              855               285               –28
                   Aug              326              930               310                 16
                   Sep              347             1005               335                 12
                    Oct             332             1080               360               –28
                   Nov              401                         =360 + 25 = 385            16
                   Dec       =410 + 12 = 422                    =385 + 25 = 410            12




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