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Historical demand for a product is as follows: DEMAND April 5 5 May 5 0 June 7 5 July 5 5 August 8 0 September

Historical demand for a product is as follows:
DEMAND
April 55
May 50
June 75
July 55
August 80
September 75
Using a simple four-month moving average, calculate a forecast for October.
Note: Round your answer to 2 decimal places.
Using single exponential smoothing with \alpha =0.30 and a September forecast =61, calculate a forecast for October.
Note: Round your answer to 2 decimal places.
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.
Calculate a forecast for October using your regression formula.
Note: Round your answer to 2 decimal places.

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