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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>3</sub> (0.098)  in the regression equation is: A)  the revenues in the third quarter of a year is approximately 9.8% higher than the average over all 4 quarters. B)  the revenues in the third quarter of a year is approximately 9.8% higher than it would be during the fourth quarter. C)  the revenues in the third quarter of a year is approximately 25.31% higher than the average over all 4 quarters. D)  the revenues in the third quarter of a year is approximately 25.31% higher 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>3</sub> (0.098)  in the regression equation is: A)  the revenues in the third quarter of a year is approximately 9.8% higher than the average over all 4 quarters. B)  the revenues in the third quarter of a year is approximately 9.8% higher than it would be during the fourth quarter. C)  the revenues in the third quarter of a year is approximately 25.31% higher than the average over all 4 quarters. D)  the revenues in the third quarter of a year is approximately 25.31% higher than it would be during the fourth quarter.
-Referring to Table 16-13, the best interpretation of the coefficient of Q3 (0.098) in the regression equation is:


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