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Data collected on the monthly demand for lawn mower at Azaka Gaarden Supply are shown in the following table Period Demand for lawn mower January 10 February 12 March 18 April 16 May 19 June 23 July 26 August 30 September 28 October 20 November 17 December 12 a. Develop a four-month moving average forecast for Azaka b. If it is predicted that demand for January would be 14, with? = 0.4, develop exponential smoothing forecast for February through January next year c. Resolve problem b) with? = 0.6 d. What are the MADs for models (a), (b), and (c) e what forecast is the most accurate?
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Does anyone have any insight into Discussion Question, This was not discussed in class.
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Exponential smoothing adds a percentage (called) of last period's forecast to estimate next period's demand
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By using a familiar industry discuss the above
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