Answer each part please.

cing with Regression Saved Histoncal demand for a product is: January February March April May DEMAND 13 11 15 14 17 16 June 16:19 a. Using a weighted moving average with welghts of 0.50 (June). 0.40 (May), and 0.10 (April), find the July forecast. (Round your answer to 1 decimal ploce.) July forecast ces b. Using a simple three month moving average find the July forecast (Round your answer to 1 decimal ploce.) July forecast c. Using single exponential smoothing with a = 0.20 and a June forecast 15, find the July forecast (Round your answer to 1 decimal ploce.) c. Using single exponential smoothing with a 0.20 and a June forecast - 15, 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.) 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