Historical demand for a product is DEMAND January February March April May June 12 11 15 12 16 15

a. Using a weighted moving average with weights of 0.60, 0.30, and 0.10, fi nd the July forecast.

b. Using a simple three-month moving average, fi nd the July forecast.

c. Using single exponential smoothing with ␣ 0.2 and a June forecast 13, fi nd the July forecast. Make whatever assumptions you wish.

d. Using simple linear regression analysis, calculate the regression equation for the preceding demand data.

e. Using the regression equation in d , calculate the forecast for July.