Table C2-4 shows total sales in pounds per month last year, which we can use to forecast demand.

Using the data in Table C2-4, and assuming we are just rolling over into the new year, use a 3-month simple moving average to forecast demand for January of this year.

Use a 3-month weighted moving average where the most recent month is given a weight of .5, the second most recent month is given a weight of .3, and the third most recent month is given a weight of .2, forecast demand for January of this year.

Using exponential smoothing with an alpha of 0.2, forecast demand for January and February of this year.

Find the deviation and MAD for each of the methods in #4a-#4c, and highlight the method that yields the most accurate forecast. Using an assumption that actual sales are going to be about 14,500 monthly, use the most accurate forecasting method to forecast demand for January through March of this year.

I am struggling primarily with the highlighted portion of this question

	Table C2-4: Last Year's Sales
	Month	Sales
	Jan	13,100
	Feb	13,820
	Mar	14,600
	Apr	13,500
	May	13,670
	Jun	15,890
	Jul	16,270
	Aug	16,250
	Sep	15,800
	Oct	14,800
	Nov	13,950
	Dec	13,800