Historical demand for a product is

	DEMAND
January	15
February	13
March	17
April	15
May	18
June	17

a. Using a weighted moving average with weights of 0.40 (June), 0.30 (May), and 0.30 (April), find the July forecast. (Round your answer to 1 decimal place.)

b. Using a simple three-month moving average, find the July forecast. (Round your answer to 1 decimal place.)

c. Using single exponential smoothing with = 0.10 and a June forecast = 13, find the July forecast. (Round your answer to 1 decimal place.)

d. Using simple linear regression analysis, calculate the regression equation for the preceding demand data. (Do not round intermediate calculations. Round your intercept value to 1 decimal place and slope value to 2 decimal places.)

e. Using the regression equation in d, calculate the forecast for July. (Do not round intermediate calculations. Round your answer to 1 decimal place.)