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TABLE 16-13 A Local Store Developed a Multiplicative Time-Series Model to Forecast

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TABLE 16-13
A local store developed a multiplicative time-series model to forecast its revenues in future quarters, using quarterly data on its revenues during the 4-year period from 2005 to 2009. The following is the resulting regression equation:
TABLE 16-13 A local store developed a multiplicative time-series model to forecast its revenues in future quarters, using quarterly data on its revenues during the 4-year period from 2005 to 2009. The following is the resulting regression equation:        -Referring to Table 16-13, the best interpretation of the coefficient of Q<sub>2</sub> (-0.054)  in the regression equation is: A)  the revenues in the second quarter of a year is approximately 5.4% lower than the average over all 4 quarters. B)  the revenues in the second quarter of a year is approximately 5.4% lower than it would be during the fourth quarter. C)  the revenues in the second quarter of a year is approximately 11.69% lower than the average over all 4 quarters. D)  the revenues in the second quarter of a year is approximately 11.69% lower than it would be during the fourth quarter.
TABLE 16-13 A local store developed a multiplicative time-series model to forecast its revenues in future quarters, using quarterly data on its revenues during the 4-year period from 2005 to 2009. The following is the resulting regression equation:        -Referring to Table 16-13, the best interpretation of the coefficient of Q<sub>2</sub> (-0.054)  in the regression equation is: A)  the revenues in the second quarter of a year is approximately 5.4% lower than the average over all 4 quarters. B)  the revenues in the second quarter of a year is approximately 5.4% lower than it would be during the fourth quarter. C)  the revenues in the second quarter of a year is approximately 11.69% lower than the average over all 4 quarters. D)  the revenues in the second quarter of a year is approximately 11.69% lower than it would be during the fourth quarter.
-Referring to Table 16-13, the best interpretation of the coefficient of Q2 (-0.054) in the regression equation is:

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Definitions:

Total Cost

The sum of fixed and variable costs used in producing goods or services.

Product Price

The amount of money charged for a good or service, determined by various factors including production costs, market demand, and competition.

Marginal Cost

The elevation in aggregate expenditure associated with creating an additional unit of a product or service.

Economic Profit

The difference between total revenue and total costs, including both explicit and implicit costs, reflecting the total gains from undertaking an economic activity.

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