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SCENARIO 16-12 a Local Store Developed a Multiplicative Time-Series Model

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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: 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2008.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.   is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.   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   (0.098) in the regression equation is: A) the revenues in the third quarter of a year is approximately 9.8% higher than the average over all 4 quarters. B) the revenues in the third quarter of a year is approximately 9.8% higher than it would be during the fourth quarter. C) the revenues in the third quarter of a year is approximately 25.31% higher than the average over all 4 quarters. D) the revenues in the third quarter of a year is approximately 25.31% higher than it would be during the fourth quarter. where 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2008.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.   is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.   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   (0.098) in the regression equation is: A) the revenues in the third quarter of a year is approximately 9.8% higher than the average over all 4 quarters. B) the revenues in the third quarter of a year is approximately 9.8% higher than it would be during the fourth quarter. C) the revenues in the third quarter of a year is approximately 25.31% higher than the average over all 4 quarters. D) the revenues in the third quarter of a year is approximately 25.31% higher than it would be during the fourth quarter. is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2008. 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2008.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.   is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.   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   (0.098) in the regression equation is: A) the revenues in the third quarter of a year is approximately 9.8% higher than the average over all 4 quarters. B) the revenues in the third quarter of a year is approximately 9.8% higher than it would be during the fourth quarter. C) the revenues in the third quarter of a year is approximately 25.31% higher than the average over all 4 quarters. D) the revenues in the third quarter of a year is approximately 25.31% higher than it would be during the fourth quarter. is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2008.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.   is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.   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   (0.098) in the regression equation is: A) the revenues in the third quarter of a year is approximately 9.8% higher than the average over all 4 quarters. B) the revenues in the third quarter of a year is approximately 9.8% higher than it would be during the fourth quarter. C) the revenues in the third quarter of a year is approximately 25.31% higher than the average over all 4 quarters. D) the revenues in the third quarter of a year is approximately 25.31% higher than it would be during the fourth quarter. is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise. 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2008.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.   is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.   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   (0.098) in the regression equation is: A) the revenues in the third quarter of a year is approximately 9.8% higher than the average over all 4 quarters. B) the revenues in the third quarter of a year is approximately 9.8% higher than it would be during the fourth quarter. C) the revenues in the third quarter of a year is approximately 25.31% higher than the average over all 4 quarters. D) the revenues in the third quarter of a year is approximately 25.31% higher than it would be during the fourth quarter. 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 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2008.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise.   is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise.   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   (0.098) in the regression equation is: A) the revenues in the third quarter of a year is approximately 9.8% higher than the average over all 4 quarters. B) the revenues in the third quarter of a year is approximately 9.8% higher than it would be during the fourth quarter. C) the revenues in the third quarter of a year is approximately 25.31% higher than the average over all 4 quarters. D) the revenues in the third quarter of a year is approximately 25.31% higher than it would be during the fourth quarter. (0.098) in the regression equation is:


Definitions:

Petitioning

The act of formally requesting something from an authority, typically through a written document.

Partition

The division of property into distinct portions as a way to distribute assets among co-owners or heirs, often used in the context of real estate.

Cotenancy

A form of concurrent property ownership in which two or more persons own an undivided interest in the same property.

Trade Fixture

is an item that a tenant attaches to a leased space or building for the purpose of conducting business, which can be removed when the lease ends.

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