Amanta Appliances sells two styles of refrigerators at more than 50 locations in the Midwest. The first
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Data on weekly sales of both products appear in the file Amanta Sales.xlsx. A time series chart of the two sales variables indicates what Amanta management expected—namely, there is no evidence of any upward or downward trends or of any seasonality. In fact, it might appear that each series is an unpredictable sequence of random ups and downs. But is this really true? Is it possible to forecast either series, with some degree of accuracy, with an extrapolation method? Which method appears to be best? How accurate is it? Also, is it possible, when trying to forecast sales of one product, to somehow incorporate current or past sales of the other product in the forecast model? After all, these products might be “substitute” products, where high sales of one go with low sales of the other, or they might be complementary products, where sales of the two products tend to move in the same direction.
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Data Analysis and Decision Making
ISBN: 978-0538476126
4th edition
Authors: Christian Albright, Wayne Winston, Christopher Zappe
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