Historical demand for a product is as follows: April May June July August September DEMAND 55 50 75 55 80 75 a. Using a simple four-month moving average, calculate a forecast for October. (Round your answer to 2 decimal places.) Forecast for October b. Using single exponential smoothing with a = 0.30 and a September forecast = 61, calculate a forecast for October. (Round your answer to 1 decimal places.) Forecast for October 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 Yaxis is demand. (Round your intercept value to the nearest whole number and slope value to 2 decimal places.)

Historical demand for a product is as follows: a. 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 a=0.30 and a September forecast =61, 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.)