The table below contains the time series data for sales volume of a retail store. Apply a time series model and forecast the sales for May 2021.

Answer: ______________________

Month	Sales Volume
2007-01-01	589
2007-02-01	561
2007-03-01	640
2007-04-01	656
2007-05-01	727
2007-06-01	697
2007-07-01	640
2007-08-01	599
2007-09-01	568
2007-10-01	577
2007-11-01	553
2007-12-01	582
2008-01-01	600
2008-02-01	566
2008-03-01	653
2008-04-01	673
2008-05-01	742
2008-06-01	716
2008-07-01	660
2008-08-01	617
2008-09-01	583
2008-10-01	587
2008-11-01	565
2008-12-01	598
2009-01-01	628
2009-02-01	618
2009-03-01	688
2009-04-01	705
2009-05-01	770
2009-06-01	736
2009-07-01	678
2009-08-01	639
2009-09-01	604
2009-10-01	611
2009-11-01	594
2009-12-01	634
2010-01-01	658
2010-02-01	622
2010-03-01	709
2010-04-01	722
2010-05-01	782
2010-06-01	756
2010-07-01	702
2010-08-01	653
2010-09-01	615
2010-10-01	621
2010-11-01	602
2010-12-01	635
2011-01-01	677
2011-02-01	635
2011-03-01	736
2011-04-01	755
2011-05-01	811
2011-06-01	798
2011-07-01	735
2011-08-01	697
2011-09-01	661
2011-10-01	667
2011-11-01	645
2011-12-01	688
2012-01-01	713
2012-02-01	667
2012-03-01	762
2012-04-01	784
2012-05-01	837
2012-06-01	817
2012-07-01	767
2012-08-01	722
2012-09-01	681
2012-10-01	687
2012-11-01	660
2012-12-01	698
2013-01-01	717
2013-02-01	696
2013-03-01	775
2013-04-01	796
2013-05-01	858
2013-06-01	826
2013-07-01	783
2013-08-01	740
2013-09-01	701
2013-10-01	706
2013-11-01	677
2013-12-01	711
2014-01-01	734
2014-02-01	690
2014-03-01	785
2014-04-01	805
2014-05-01	871
2014-06-01	845
2014-07-01	801
2014-08-01	764
2014-09-01	725
2014-10-01	723
2014-11-01	690
2014-12-01	734
2015-01-01	750
2015-02-01	707
2015-03-01	807
2015-04-01	824
2015-05-01	886
2015-06-01	859
2015-07-01	819
2015-08-01	783
2015-09-01	740
2015-10-01	747
2015-11-01	711
2015-12-01	751
2016-01-01	804
2016-02-01	756
2016-03-01	860
2016-04-01	878
2016-05-01	942
2016-06-01	913
2016-07-01	869
2016-08-01	834
2016-09-01	790
2016-10-01	800
2016-11-01	763
2016-12-01	800
2017-01-01	826
2017-02-01	799
2017-03-01	890
2017-04-01	900
2017-05-01	961
2017-06-01	935
2017-07-01	894
2017-08-01	855
2017-09-01	809
2017-10-01	810
2017-11-01	766
2017-12-01	805
2018-01-01	821
2018-02-01	773
2018-03-01	883
2018-04-01	898
2018-05-01	957
2018-06-01	924
2018-07-01	881
2018-08-01	837
2018-09-01	784
2018-10-01	791
2018-11-01	760
2018-12-01	802
2019-01-01	828
2019-02-01	778
2019-03-01	889
2019-04-01	902
2019-05-01	969
2019-06-01	947
2019-07-01	908
2019-08-01	867
2019-09-01	815
2019-10-01	812
2019-11-01	773
2019-12-01	813
2020-01-01	834
2020-02-01	782
2020-03-01	892
2020-04-01	903
2020-05-01	966
2020-06-01	937
2020-07-01	896
2020-08-01	858
2020-09-01	817
2020-10-01	827
2020-11-01	797
2020-12-01	843