SCENARIO 16-12
a Local Store Developed a Multiplicative Time-Series Model $$\log _ { 10 } \hat { Y } = 6.102 + 0.012 X - 0.129 Q _ { 1 } - 0.054 Q _ { 2 } + 0.098 Q _ { 3 }$$

question 74

Multiple Choice

SCENARIO 16-12
A local store developed a multiplicative time-series model to forecast its revenues in future
quarters, using quarterly data on its revenues during the 5-year period from 2009 to 2013. The
following is the resulting regression equation: $$\log _ { 10 } \hat { Y } = 6.102 + 0.012 X - 0.129 Q _ { 1 } - 0.054 Q _ { 2 } + 0.098 Q _ { 3 }$$
where $\hat { Y }$ is the estimated number of contracts in a quarter
$X$ is the coded quarterly value with $X = 0$ in the first quarter of 2008 .
$Q _ { 1 }$ is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.
$Q _ { 2 }$ is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.
$Q _ { 3 }$ is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise.
-Referring to Scenario 16-12, the best interpretation of the coefficient of Q2 (-0.054) in the regression equation is:

• A) the revenues in the second quarter of a year is approximately 5.4% lower than the average over all 4 quarters.
• B) the revenues in the second quarter of a year is approximately 5.4% lower than it would be during the fourth quarter.
• C) the revenues in the second quarter of a year is approximately 11.69% lower than the average over all 4 quarters.
• D) the revenues in the second quarter of a year is approximately 11.69% lower than it would be during the fourth quarter.

Understand the impacts of economic forces on organizational strategies and operations.

Acknowledge the diverse workforce characteristics of different generations and their implications for human resource management.

Understand the basics of product cost calculation including direct materials, direct labor, and overhead costs.

Learn how to calculate net operating income and understand its implications for business decision-making.