TABLE 16-5
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 1996 to 1998. The following is the resulting regression equation:
ln Y^ = 3.37 + 0.117 X - 0.083 Q1 + 1.28 Q2 + 0.617 Q3
where
Y^ is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 1996.
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 16-5, to obtain a forecast for the first quarter of 1999 using the model, which of the following sets of values should be used in the regression equation?
A) X = 12, Q1 = 1, Q2 = 0, Q3 = 0
B) X = 13, Q1 = 1, Q2 = 0, Q3 = 0
C) X = 12, Q1 = 0, Q2 = 0, Q3 = 0
D) X = 13, Q1 = 0, Q2 = 0, Q3 = 0
Correct Answer:
Verified
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