Find MAD, MSE, RMSE, and MAPE for the two ES forecasts. Make a summary table of the error metrics for task 1. Using the data below

=0.3 and 0.9

Month	Sales (A)	Forcast =0.3	Forcast =0.9
Jan-12	1,592	1,592	#N/A
Feb-12	1,711	1,592	1592
Mar-12	1,810	1,711	1699
Apr-12	1,867	1,810	1799
May-12	1,779	1,867	1860
Jun-12	1,740	1,779	1787
Jul-12	1,826	1,740	1745
Aug-12	1,695	1,826	1818
Sep-12	1,681	1,695	1707
Oct-12	1,663	1,681	1684
Nov-12	1,825	1,663	1665
Dec-12	1,720	1,825	1809
Jan-13	1,761	1,720	1729
Feb-13	2,035	1,761	1758
Mar-13	2,142	2,035	2007
Apr-13	2,340	2,142	2129
May-13	2,280	2,340	2319
Jun-13	2,271	2,280	2284
Jul-13	2,154	2,271	2272
Aug-13	2,146	2,154	2166
Sep-13	2,085	2,146	2148
Oct-13	1,970	2,085	2091
Nov-13	1,936	1,970	1982
Dec-13	1,850	1,936	1941
Jan-14	2,000	1,850	1859
Feb-14	2,324	2,000	1986
Mar-14	2,510	2,324	2290
Apr-14	2,672	2,510	2488
May-14	2,780	2,672	2654
Jun-14	2,813	2,780	2767
Jul-14	2,716	2,813	2808
Aug-14	2,581	2,716	2725
Sep-14	2,476	2,581	2595
Oct-14	2,317	2,476	2488
Nov-14	2,324	2,317	2334
Dec-14	2,080	2,324	2325
Jan-15	2,202	2,080	2105
Feb-15	2,540	2,202	2192
Mar-15	2,867	2,540	2505
Apr-15	3,348	2,867	2831
May-15	3,550	3,348	3296
Jun-15	3,432	3,550	3525
Jul-15	3,400	3,432	3441
Aug-15	3,261	3,400	3404
Sep-15	3,209	3,261	3275
Oct-15	3,132	3,209	3216
Nov-15	3,027	3,132	3140
Dec-15	2,777	3,027	3038
Jan-16	2,821	2,777	2803
Feb-16	3,209	2,821	2819
Mar-16	3,553	3,209	3170
Apr-16	3,820	3,553	3515
May-16	4,133	3,820	3789
Jun-16	4,476	4,133	4099
Jul-16	4,436	4,476	4438
Aug-16	4,256	4,436	4436
Sep-16	4,067	4,256	4274
Oct-16	3,890	4,067	4088
Nov-16	3,816	3,890	3910
Dec-16	3,717	3,816	3825
Jan-17		3,717	3728