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SCENARIO 16-14 a Contractor Developed a Multiplicative Time-Series Model to Forecast

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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: 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q   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 16-14, the best interpretation of the coefficient of Q   (0.617) in the regression equation is: A) the number of contracts in the third quarter of a year is approximately 62% higher than the average over all 4 quarters. B) the number of contracts in the third quarter of a year is approximately 62% higher than it would be during the fourth quarter. C) the number of contracts in the third quarter of a year is approximately 314% higher than the average over all 4 quarters. D) the number of contracts in the third quarter of a year is approximately 314% higher than it would be during the fourth quarter. where 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q   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 16-14, the best interpretation of the coefficient of Q   (0.617) in the regression equation is: A) the number of contracts in the third quarter of a year is approximately 62% higher than the average over all 4 quarters. B) the number of contracts in the third quarter of a year is approximately 62% higher than it would be during the fourth quarter. C) the number of contracts in the third quarter of a year is approximately 314% higher than the average over all 4 quarters. D) the number of contracts in the third quarter of a year is approximately 314% 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 2011. 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q   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 16-14, the best interpretation of the coefficient of Q   (0.617) in the regression equation is: A) the number of contracts in the third quarter of a year is approximately 62% higher than the average over all 4 quarters. B) the number of contracts in the third quarter of a year is approximately 62% higher than it would be during the fourth quarter. C) the number of contracts in the third quarter of a year is approximately 314% higher than the average over all 4 quarters. D) the number of contracts in the third quarter of a year is approximately 314% 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. Q 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q   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 16-14, the best interpretation of the coefficient of Q   (0.617) in the regression equation is: A) the number of contracts in the third quarter of a year is approximately 62% higher than the average over all 4 quarters. B) the number of contracts in the third quarter of a year is approximately 62% higher than it would be during the fourth quarter. C) the number of contracts in the third quarter of a year is approximately 314% higher than the average over all 4 quarters. D) the number of contracts in the third quarter of a year is approximately 314% 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 16-14 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q   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 16-14, the best interpretation of the coefficient of Q   (0.617) in the regression equation is: A) the number of contracts in the third quarter of a year is approximately 62% higher than the average over all 4 quarters. B) the number of contracts in the third quarter of a year is approximately 62% higher than it would be during the fourth quarter. C) the number of contracts in the third quarter of a year is approximately 314% higher than the average over all 4 quarters. D) the number of contracts in the third quarter of a year is approximately 314% 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 16-14, the best interpretation of the coefficient of Q 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:   where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2011.   is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise. Q   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 16-14, the best interpretation of the coefficient of Q   (0.617) in the regression equation is: A) the number of contracts in the third quarter of a year is approximately 62% higher than the average over all 4 quarters. B) the number of contracts in the third quarter of a year is approximately 62% higher than it would be during the fourth quarter. C) the number of contracts in the third quarter of a year is approximately 314% higher than the average over all 4 quarters. D) the number of contracts in the third quarter of a year is approximately 314% higher than it would be during the fourth quarter. (0.617) in the regression equation is:


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