TABLE 16-14 a Contractor Developed a Multiplicative Time-Series Model to Forecast the Forecast

TABLE 16-14
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 2010 to 2012.The following is the resulting regression equation:
ln = 3.37 + 0.117 X - 0.083 Q₁ + 1.28 Q₂ + 0.617 Q₃
where is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 2010
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 Table 16-14,using the regression equation,which of the following values is the best forecast for the number of contracts in the second quarter of 2014?

A) 144,212
B) 391,742
C) 1,238,797
D) 4,355,119