Historical demand for a product is as follows: a. Using a simple four-month moving average, calculate a forecast for October. Note: Round your answer to 2 decimal places. b. Using single exponential smoothing with a=0.2 and a September forecast =65, calculate a forecast for October. Note: Round your answer to 1 decimal place. c. Using simple linear regression, calculate the trend line for the historical data. Lets say the X axis is April =1, May =2, and so on, while the Yaxis is demand. Note: Round your intercept value to the nearest whole number and slope value to 2 decimal places. . Using single exponential smoothing with =0.2 and a September forecast =65, calculate a forecast for October. Note: Round your answer to 1 decimal place. c. Using simple linear regression, calculate the trend line for the historical data. Let's say the X axis is April =1, May =2, and so on, while the Y axis is demand. Note: Round your intercept value to the nearest whole number and slope value to 2 decimal places. d. Calculate a forecast for October using your regression formula. Note: Round your answer to 2 decimal places