Question: historical demand for a product is demand january 12 february...

Historical demand for a product is:

	DEMAND
January	12
February	9
March	13
April	12
May	14
June	13

a. Using a weighted moving average with weights of 0.60 (June), 0.30 (May), and 0.10 (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 α = 0.10 and a June forecast = 11, 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