Historical demand for a product is as follows: DEMAND April 59 May 54 June 79 July...

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Historical demand for a product is as follows: DEMAND April 59 May 54 June 79 July August 59 September 84 79 a. Using a simple four-month moving average, calculate a forecast for October. Note: Round your answer to 2 decimal places. Forecast for October b. Using single exponential smoothing with a = 0.20 and a September forecast = 55, calculate a forecast for October. Note: Round your answer to 2 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 Y axis is demand. Note: Round your Intercept value to the nearest whole number and slope value to 2 decimal places. Y = d. Calculate a forecast for October using your regression formula. Note: Round your answer to 2 decimal places. Forecast for October Historical demand for a product is as follows: DEMAND April 59 May 54 June 79 July August 59 September 84 79 a. Using a simple four-month moving average, calculate a forecast for October. Note: Round your answer to 2 decimal places. Forecast for October b. Using single exponential smoothing with a = 0.20 and a September forecast = 55, calculate a forecast for October. Note: Round your answer to 2 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 Y axis is demand. Note: Round your Intercept value to the nearest whole number and slope value to 2 decimal places. Y = d. Calculate a forecast for October using your regression formula. Note: Round your answer to 2 decimal places. Forecast for October