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Instruction 14-5
a Contractor Developed a Multiplicative Time-Series Model to Forecast

question 102

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Instruction 14-5
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 three-year period from 2008 to 2010. The following is the resulting regression equation:
log10Y^=3.37+0.117X0.083Q1+1.28Q2+0.617Q3\log _ { 10 } \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 2008 .
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.
-Referring to Instruction 14-5,using the regression equation,which of the following values is the best forecast for the number of contracts in the third quarter of 2011?

Understand the role and influence of genetic predispositions on personality development.
Grasp the impact of social and environmental conditions on the realization of genetic predispositions.
Recognize the importance of childhood experiences in shaping personality.
Comprehend how external factors like jobs and cultural influences affect personality.

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