• ) An important part of planning manufacturing capacity is having a good forecast of sales. You are interested in forecasting sales of tractors in each marketing region to assess future changes in market share. Please visualize the historical sales data in the Tractor Unit Salesworksheet for each region, describe the time series for each region from the four components of time series, and identify the most appropriate forecasting model for each region. You do need to show the charts.

• What are the four components of time series?

- North America

• South America
• Europe
• Pacific Rim
• China
• World

Tractor Unit Sales
Month	NA	SA	Eur	Pacific	China	World
Jan-14	570	250	560	212	0	1592
Feb-14	611	270	600	230	0	1711
Mar-14	630	260	680	240	0	1810
Apr-14	684	270	650	263	0	1867
May-14	650	280	580	269	0	1779
Jun-14	600	270	590	280	0	1740
Jul-14	512	264	760	290	0	1826
Aug-14	500	280	645	270	0	1695
Sep-14	478	290	650	263	0	1681
Oct-14	455	280	670	258	0	1663
Nov-14	407	290	888	240	0	1825
Dec-14	360	280	850	230	0	1720
Jan-15	571	320	620	250	0	1761
Feb-15	650	350	760	275	0	2035
Mar-15	740	390	742	270	0	2142
Apr-15	840	440	780	280	0	2340
May-15	830	470	690	290	0	2280
Jun-15	760	490	721	300	0	2271
Jul-15	681	481	680	312	0	2154
Aug-15	670	460	711	305	0	2146
Sep-15	640	460	695	290	0	2085
Oct-15	620	440	650	260	0	1970
Nov-15	570	436	680	250	0	1936
Dec-15	533	420	657	240	0	1850
Jan-16	620	510	610	250	10	2000
Feb-16	792	590	680	250	12	2324
Mar-16	890	610	730	260	20	2510
Apr-16	960	600	820	270	22	2672
May-16	1040	620	810	290	20	2780
Jun-16	1032	640	807	310	24	2813
Jul-16	1006	590	760	340	20	2716
Aug-16	910	600	720	320	31	2581
Sep-16	803	670	660	313	30	2476
Oct-16	730	630	630	290	37	2317
Nov-16	699	710	603	280	32	2324
Dec-16	647	570	570	260	33	2080
Jan-17	730	650	500	287	35	2202
Feb-17	930	680	590	290	50	2540
Mar-17	1160	724	620	300	63	2867
Apr-17	1510	730	730	310	68	3348
May-17	1650	760	740	330	70	3550
Jun-17	1490	800	720	340	82	3432
Jul-17	1460	840	670	350	80	3400
Aug-17	1390	830	610	341	90	3261
Sep-17	1360	820	599	330	100	3209
Oct-17	1340	810	560	320	102	3132
Nov-17	1240	827	550	300	110	3027
Dec-17	1103	750	520	290	114	2777
Jan-18	1250	780	480	200	111	2821
Feb-18	1550	805	523	210	121	3209
Mar-18	1820	830	560	220	123	3553
Apr-18	2010	890	570	230	120	3820
May-18	2230	930	590	253	130	4133
Jun-18	2490	980	600	270	136	4476
Jul-18	2440	1002	580	280	134	4436
Aug-18	2334	970	570	250	132	4256
Sep-18	2190	960	550	230	137	4067
Oct-18	2080	930	530	220	130	3890
Nov-18	2050	920	517	190	139	3816
Dec-18	2004	902	490	190	131	3717