Instruction 14-4
a Contractor Developed a Multiplicative Time-Series Model to Forecast

Multiple Choice

Instruction 14-4
A contractor developed a multiplicative time-series model to forecast the number of contracts in future quarters,using quarterly data on number of contracts during the 3-year period from 2008 to 2010.The following is the resulting regression equation:
$\log _ { 10 } \hat { Y } = 3.37 + 0.117 X - 0.083 Q _ { 1 } + 1.28 Q _ { 2 } + 0.617 Q _ { 3 }$
Where
$$\hat { Y }$$ is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 2008.
Q₁ is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.
Q₂ is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.
Q₃ is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise.
-Referring to Instruction 14-4,the best interpretation of the constant 3.37 in the regression equation is

A) the fitted value for the first quarter of 2008,prior to seasonal adjustment,is log₁₀ 3.37.
B) the fitted value for the first quarter of 2008,after seasonal adjustment,is 10^3.37.
C) the fitted value for the first quarter of 2008,after seasonal adjustment,is log₁₀ 3.37.
D) the fitted value for the first quarter of 2008,prior to seasonal adjustment,is 10^3.37.