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You are back at PLE. Ms B. wants to forecast the sales of future mower units (use sheet Mower Unit Sales ). Separately for each

You are back at PLE.

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

Provide an Excel file (relevant sheets only!) as well as a professional report for Ms B.

Mower Unit Sales
Month NA SA Europe Pacific China World
Jan-14 6000 200 720 100 0 7020
Feb-14 7950 220 990 120 0 9280
Mar-14 8100 250 1320 110 0 9780
Apr-14 9050 280 1650 120 0 11100
May-14 9900 310 1590 130 0 11930
Jun-14 10200 300 1620 120 0 12240
Jul-14 8730 280 1590 140 0 10740
Aug-14 8140 250 1560 130 0 10080
Sep-14 6480 230 1590 130 0 8430
Oct-14 5990 220 1320 120 0 7650
Nov-14 5320 210 990 130 0 6650
Dec-14 4640 180 660 140 0 5620
Jan-15 5980 210 690 140 0 7020
Feb-15 7620 240 1020 150 0 9030
Mar-15 8370 250 1290 140 0 10050
Apr-15 8830 290 1620 150 0 10890
May-15 9310 330 1650 130 0 11420
Jun-15 10230 310 1590 140 0 12270
Jul-15 8720 290 1560 150 0 10720
Aug-15 7710 270 1530 140 0 9650
Sep-15 6320 250 1590 150 0 8310
Oct-15 5840 250 1260 160 0 7510
Nov-15 4960 240 900 150 0 6250
Dec-15 4350 210 660 150 0 5370
Jan-16 6020 220 570 160 0 6970
Feb-16 7920 250 840 150 0 9160
Mar-16 8430 270 1110 160 0 9970
Apr-16 9040 310 1500 170 0 11020
May-16 9820 360 1440 160 0 11780
Jun-16 10370 330 1410 170 0 12280
Jul-16 9050 310 1440 160 0 10960
Aug-16 7620 300 1410 170 0 9500
Sep-16 6420 280 1350 180 0 8230
Oct-16 5890 270 1080 180 0 7420
Nov-16 5340 260 840 190 0 6630
Dec-16 4430 230 510 180 0 5350
Jan-17 6100 250 480 200 0 7030
Feb-17 8010 270 750 190 0 9220
Mar-17 8430 280 1140 200 0 10050
Apr-17 9110 320 1410 210 0 11050
May-17 9730 380 1340 190 0 11640
Jun-17 10120 360 1360 200 0 12040
Jul-17 9080 320 1410 200 0 11010
Aug-17 7820 310 1490 210 0 9830
Sep-17 6540 300 1310 220 0 8370
Oct-17 6010 290 980 210 0 7490
Nov-17 5270 270 770 220 0 6530
Dec-17 5380 260 430 230 0 6300
Jan-18 6210 270 400 200 0 7080
Feb-18 8030 280 750 190 0 9250
Mar-18 8540 300 970 210 5 10025
Apr-18 9120 340 1310 220 16 11006
May-18 9570 390 1260 200 22 11442
Jun-18 10230 380 1240 210 26 12086
Jul-18 9580 350 1300 230 14 11474
Aug-18 7680 340 1250 220 15 9505
Sep-18 6870 320 1210 220 11 8631
Oct-18 5930 310 970 230 3 7443
Nov-18 5260 300 650 240 1 6451
Dec-18 4830 290 300 230 0 5650

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