Historical demand for a product is a. Using a weighted moving average with weights of 0.40 (June), 0.50 (May), and 0.10 (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 a=0.20 and a June forecast =10, 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. (DJ 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.)