Historical demand for a product is as follows: 0. Using a simple four-month moving average, calculate a forecast for October. (Round your answer to 2 decimal places.) b. Using single exponential smoothing with =0.30 and a September forecast =57, calculate a forecast for October. (Round your onswer to 1 decimal places.) c. Using simple linear regression, calculate the trend line for the historicat data. Say the X axis is April = 1. May =2, and so on, white the Y axis is demand. (Round your intercept volue to the neorest whole number and slope value to ? decimal places.) . Using single exponential smoothing with =0.30 and a September forecast =57, calculate a forecast for October (Round your answer to 1 decimal places.) c. Using simple linear regression, calculate the trend line for the historical data. Say the X axis is April =1, May =2, and so on, while the Y axis is demand. (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. (Round your answer to 2 decimal places.)