Answer only if you're absolutely sure, please.

Historical demand for a product is:

	DEMAND
January	14
February	11
March	15
April	14
May	16
June	15

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 = 0.40 and a June forecast = 13, 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