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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,the best interpretation of the coefficient of X (0.117) in the regression equation is:
Efficiency
The ability to maximize output with a given set of inputs, or to minimize inputs used for producing a given output.
Personal Income Taxes
Taxes levied on the income of individuals, affecting personal earnings.
Dividends Shareholders
Profits distributed to shareholders of a corporation, typically in the form of cash payments or additional shares of stock.
Payroll Tax
Taxes levied on either employers or employees, often determined as a fraction of the wages that businesses pay to their workforce.
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