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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 2013.The following is the resulting regression equation:
ln Yˆ = 3.37 + 0.117 X - 0.083 Q1 + 1.28 Q2 + 0.617 Q3
where
Yˆ is the estimated number of contracts in a quarter.
X is the coded quarterly value with X = 0 in the first quarter of 2011.
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 Scenario 16-14,using the regression equation,which of the following values is the best forecast for the number of contracts in the third quarter of 2014?
Null Hypothesis
A statistical hypothesis that assumes no significant difference or effect exists.
Interval Estimate
An estimate of a population parameter that specifies a range of possible values.
Constituency
A body of voters in a specified area who elect a representative to a legislative body.
Significance Level
The probability of rejecting the null hypothesis when it is actually true, often denoted by alpha (α) and used as a threshold in hypothesis testing.
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