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Ms B. wants to forecast the sales of future mower units (use sheet Mower Unit Sales). Separately for each region as well as for the

Ms B. wants to forecast the sales of future mower units (use sheet Mower Unit Sales). Separately for each region as well as for the world:

  • Select the appropriate forecasting model
  • Build the chosen forecasting model over the course of the observed period of time
  • Predict future sales for a every month up to a year after the latest observed date
  • Mower Unit Sales

    MonthNASAEuropePacificChinaWorld
    Jan-14600020072010007020
    Feb-14795022099012009280
    Mar-148100250132011009780
    Apr-1490502801650120011100
    May-1499003101590130011930
    Jun-14102003001620120012240
    Jul-1487302801590140010740
    Aug-1481402501560130010080
    Sep-146480230159013008430
    Oct-145990220132012007650
    Nov-14532021099013006650
    Dec-14464018066014005620
    Jan-15598021069014007020
    Feb-157620240102015009030
    Mar-1583702501290140010050
    Apr-1588302901620150010890
    May-1593103301650130011420
    Jun-15102303101590140012270
    Jul-1587202901560150010720
    Aug-157710270153014009650
    Sep-156320250159015008310
    Oct-155840250126016007510
    Nov-15496024090015006250
    Dec-15435021066015005370
    Jan-16602022057016006970
    Feb-16792025084015009160
    Mar-168430270111016009970
    Apr-1690403101500170011020
    May-1698203601440160011780
    Jun-16103703301410170012280
    Jul-1690503101440160010960
    Aug-167620300141017009500
    Sep-166420280135018008230
    Oct-165890270108018007420
    Nov-16534026084019006630
    Dec-16443023051018005350
    Jan-17610025048020007030
    Feb-17801027075019009220
    Mar-1784302801140200010050
    Apr-1791103201410210011050
    May-1797303801340190011640
    Jun-17101203601360200012040
    Jul-1790803201410200011010
    Aug-177820310149021009830
    Sep-176540300131022008370
    Oct-17601029098021007490
    Nov-17527027077022006530
    Dec-17538026043023006300
    Jan-18621027040020007080
    Feb-18803028075019009250
    Mar-188540300970210510025
    Apr-18912034013102201611006
    May-18957039012602002211442
    Jun-181023038012402102612086
    Jul-18958035013002301411474
    Aug-1876803401250220159505
    Sep-1868703201210220118631
    Oct-18593031097023037443
    Nov-18526030065024016451
    Dec-18483029030023005650

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To forecast the sales of future mower units for each region and the world you can use a time series forecasting model such as the ARIMA AutoRegressive ... blur-text-image

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