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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 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