Burlington has tracked daily sales of coats for the three locations below:

Date	Chicago	Seasonal Relatives for Chicago Sales	California	New York
1/4/18	152	0.3	640	456
1/5/18	195	0.4	586	650
1/6/18	653	1.5	420	543
1/7/18	187	0.5	645	632
1/8/18	240	0.6	507	546
1/9/18	207	0.8	623	531
1/10/18	311	0.9	511	544
1/11/18	373	1.2	500	639
1/12/18	225	0.5	576	570
1/13/18	276	0.3	540	544
1/14/18	475	0.7	475	674
1/15/18	755	1.1	645	711
1/16/18	732	1.4	534	594
1/17/18	975	2.2	511	564
1/18/18	170	0.3	650	693
1/19/18	203	0.7	699	645
1/20/18	288	0.8	580	570
1/21/18	378	0.9	520	456
1/22/18	400	1.3	546	609
1/23/18	798	1.6	576	585
1/24/18	1111	1.9	649	609
1/25/18	176	0.5	657	480
1/26/18	213	0.6	600	544
1/27/18	240	0.9	703	560
1/28/18	311	0.7	657	476
1/29/18	456	1	546	656
1/30/18

Question Set 1. Using only the Chicago sales data, generate the following sales forecasts:

1. Nave forecasts (using the deseasonalized sales data) for January 5th through January 30^th. You will need to adjust the sales data to remove the seasonality effects. (6pts)

2. Four-day moving average forecasts for January 8^th through January 30^th. (3pts)

3. Twelve-day moving average forecasts for January 16^th through January 30^th. (3pts)

Note that, for example, you will not be able to make a four-day moving average forecast for January 7^th since four previous sales figures are required.