Historical demand for a product is

	DEMAND
January	19
February	18
March	22
April	19
May	23
June	22

a.	Using a weighted moving average with weights of 0.50 (June), 0.30 (May), and 0.20 (April), find the July forecast. (Round your answer to 1 decimal place.)

July forecast

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

July forecast

c.	Using single exponential smoothing with = 0.30 and a June forecast = 14, find the July forecast.(Round your answer to 1 decimal place.)

July forecast

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.)

Y = + t

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

July forecast