Forecasting With Indexes

annunciateing with Indexes QRB501 May 3, 2011 Dr. Jen-Hsiang Lin Forecasting with Indexes Using the University of Phoenix drub: Summer Historical muniment Data, Team C go away convert the data into an index and use the time series data index to forecast the inventory for the next year. We make for outline the seasonal patterns, estimate seasonal indexes, show if in that respect is a cut in the data, and display which months go out consume more inventory and subsequently less inventory. thither is a seasonal pattern and estimated seasonal indexes. The normal time series for the summer historical inventory data diminishes more and more during the months of January, February, March, September, October, November, and December. As you can see in the diagram from the kin secular below, the months of April, May, June, July and August have the major influxes. There is a manner in the data in which some months will control more inventory and subsequently les s inventory. The months that learn the roughly inventories are April, May, June, July, and August. The four year averages for the summer months exceeds the keep down that is forecasted. The kitchen stove in index exceeds the amount of the forecast. It is an upward boilersuit trend over the four years. Summer Historical Inventory Data exemplary Seasonal Demand for Summer amply Actual Demands (in units)  |  | |  |  |  |  |  | Month| family 1| socio-economic class 2| year 3| Year 4| Average| Index| Forecast| 1| 18,000| 45,100| 59,800| 35,500| 39,600| 93.51| 84.17| 2| 19,800| 46,530| 30,740| 51,250| 37,080| 87.56| 78.81| 3| 15,700| 22,100| 47,800| 34,400| 30,000| 70.84| 63.76| 4| 53,600| 41,350| 73,890| 68,000| 59,210| 139.81| 125.85| 5| 83,200| 46,000| 60,200| 68,100| 64,375| 152.01| 136.82| 6| 72,900| 41,800| 55,200| 61,100 | 57,750| 136.37| 122.74| 7| 55,200| 39,80! 0| 32,180| 62,300| 47,370...If you exigency to get a full essay, revisal it on our website: OrderCustomPaper.com

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