Historical demand for a product is attached below.

a) Using a three-month moving average, the July forecast is [ Select A.) 15, B.) 13, C.) 14, D.) 12 ].

b) Using single exponential smoothing with =0.2 and a June forecast 13, the July forecast is [ Select A.) 14, B.) 15, C.) 12, D.) 13 ].

c) Using simple linear regression analysis, the regression equation for the preceding demand data is Y = [ Select A.) 11.8, B.) 0.63, C.) 0.77, D.) 10.8 ] + [ Select A.) 11.8, B.) 0.63, C.) 0.77 D.) 10.8 ] x.

d) Using the regression equation in the last part, the July forecast is [ Select A.) 16.2, B.) 13.5, C.) 15.2 D.) 76.4].

	Demand
January	12
February	11
March	15
April	12
May	16
June	15