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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 X (0.012)  in the regression equation is: A)  the quarterly compound growth rate in revenues is around 2.8%. B)  the annual growth rate in revenues is around 2.8%. C)  the quarterly growth rate in revenues is around 1.2%. D)  the annual growth rate in revenues is around 1.2%.
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 X (0.012)  in the regression equation is: A)  the quarterly compound growth rate in revenues is around 2.8%. B)  the annual growth rate in revenues is around 2.8%. C)  the quarterly growth rate in revenues is around 1.2%. D)  the annual growth rate in revenues is around 1.2%.
-Referring to Table 16-13, the best interpretation of the coefficient of X (0.012) in the regression equation is:


A) the quarterly compound growth rate in revenues is around 2.8%.
B) the annual growth rate in revenues is around 2.8%.
C) the quarterly growth rate in revenues is around 1.2%.
D) the annual growth rate in revenues is around 1.2%.

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