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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 constant 6.102 in the regression equation is: A)  the fitted value for the first quarter of 2005, prior to seasonal adjustment, is log<sub>10</sub>(6.102) . B)  the fitted value for the first quarter of 2005, after seasonal adjustment, is log<sub>10</sub>(6.102) . C)  the fitted value for the first quarter of 2005, prior to seasonal adjustment, is 10<sup>6.102</sup>. D)  the fitted value for the first quarter of 2005, after seasonal adjustment, is 10<sup>6.102</sup>.
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 constant 6.102 in the regression equation is: A)  the fitted value for the first quarter of 2005, prior to seasonal adjustment, is log<sub>10</sub>(6.102) . B)  the fitted value for the first quarter of 2005, after seasonal adjustment, is log<sub>10</sub>(6.102) . C)  the fitted value for the first quarter of 2005, prior to seasonal adjustment, is 10<sup>6.102</sup>. D)  the fitted value for the first quarter of 2005, after seasonal adjustment, is 10<sup>6.102</sup>.
-Referring to Table 16-13, the best interpretation of the constant 6.102 in the regression equation is:


A) the fitted value for the first quarter of 2005, prior to seasonal adjustment, is log10(6.102) .
B) the fitted value for the first quarter of 2005, after seasonal adjustment, is log10(6.102) .
C) the fitted value for the first quarter of 2005, prior to seasonal adjustment, is 106.102.
D) the fitted value for the first quarter of 2005, after seasonal adjustment, is 106.102.

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