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Develop a forecast for years 2 through 12 using exponential smoothing with ƒÑƒn= .4 and a forecast for year 1 of 6. Plot your new forecast on a graph with the actual data and the naive forecast. Based on a visual inspection, which forecast is better
Year 1 2 3 4 5 6 7 8 9 10 11
Demand 7 9 5 9 13 8 12 13 9 11 7
a)Polt the above data on a graph. Do you observe any trend, cycles, or random variations?
b) Starting in year 4 and going to year 12, forecast demand using 3 year moving average. plot your forecast on the same graph as the original data.
c) Starting in year 4 and going to year 12, forecast demand using a 3-year moving average with weights of.1,.3,and .6, using .6 for the most recent year. Plot this forecast on the same graph.
d)As you compare forecasts with the original data, which seems to five the better results?
Describe the categories of problems that have been found to be approached by Six Sigma methodology.
To complete this scenario, use the Confidence Interval Calculator and the Area Gas Prices %u2013 Random Sample documents, provided in the Resources. The Minneapolis Star Tribune
fACTORS AFFECTING LOCATION DECISIONS?
How can a university, which is also a service organizaiton, benefit from integreated software?
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Address the following questions and concepts 1) Through your review of Fiedler's contingency model, would you say that the coaches are matched to their situation? Why or why no
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