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

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SCENARIO 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 2011 to
-The following is the resulting regression equation: lnY^=3.37+0.117X0.083Q1+1.28Q2+0.617Q3\ln \hat { Y } = 3.37 + 0.117 X - 0.083 Q _ { 1 } + 1.28 Q _ { 2 } + 0.617 Q _ { 3 }
where Y^\hat { Y } is the estimated number of contracts in a quarter
XX is the coded quarterly value with X=0X = 0 in the first quarter of 2011 .
Q1Q _ { 1 } is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.
Q2Q _ { 2 } is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.
Q3Q _ { 3 } is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise.


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