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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, in testing the coefficient for   in the regression equation (- 0.083) , the results were a t-statistic of - 0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result? A) The number of contracts in the first quarter of the year is significantly different from the number of contracts in an average quarter (   = 0.05) . B) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in an average quarter (   = 0.05) . C) The number of contracts in the first quarter of the year is significantly different from the number of contracts in the fourth quarter for a given coded quarterly value of X (   = 0.05) . D) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in the fourth quarter for a given coded quarterly value Of X (   = 0.05) . 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, in testing the coefficient for   in the regression equation (- 0.083) , the results were a t-statistic of - 0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result? A) The number of contracts in the first quarter of the year is significantly different from the number of contracts in an average quarter (   = 0.05) . B) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in an average quarter (   = 0.05) . C) The number of contracts in the first quarter of the year is significantly different from the number of contracts in the fourth quarter for a given coded quarterly value of X (   = 0.05) . D) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in the fourth quarter for a given coded quarterly value Of X (   = 0.05) . 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, in testing the coefficient for   in the regression equation (- 0.083) , the results were a t-statistic of - 0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result? A) The number of contracts in the first quarter of the year is significantly different from the number of contracts in an average quarter (   = 0.05) . B) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in an average quarter (   = 0.05) . C) The number of contracts in the first quarter of the year is significantly different from the number of contracts in the fourth quarter for a given coded quarterly value of X (   = 0.05) . D) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in the fourth quarter for a given coded quarterly value Of X (   = 0.05) . 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, in testing the coefficient for   in the regression equation (- 0.083) , the results were a t-statistic of - 0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result? A) The number of contracts in the first quarter of the year is significantly different from the number of contracts in an average quarter (   = 0.05) . B) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in an average quarter (   = 0.05) . C) The number of contracts in the first quarter of the year is significantly different from the number of contracts in the fourth quarter for a given coded quarterly value of X (   = 0.05) . D) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in the fourth quarter for a given coded quarterly value Of X (   = 0.05) . 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, in testing the coefficient for   in the regression equation (- 0.083) , the results were a t-statistic of - 0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result? A) The number of contracts in the first quarter of the year is significantly different from the number of contracts in an average quarter (   = 0.05) . B) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in an average quarter (   = 0.05) . C) The number of contracts in the first quarter of the year is significantly different from the number of contracts in the fourth quarter for a given coded quarterly value of X (   = 0.05) . D) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in the fourth quarter for a given coded quarterly value Of X (   = 0.05) . is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise.
-Referring to Scenario 16-14, in testing the coefficient for 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, in testing the coefficient for   in the regression equation (- 0.083) , the results were a t-statistic of - 0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result? A) The number of contracts in the first quarter of the year is significantly different from the number of contracts in an average quarter (   = 0.05) . B) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in an average quarter (   = 0.05) . C) The number of contracts in the first quarter of the year is significantly different from the number of contracts in the fourth quarter for a given coded quarterly value of X (   = 0.05) . D) The number of contracts in the first quarter of the year is not significantly different from the number of contracts in the fourth quarter for a given coded quarterly value Of X (   = 0.05) . in the regression equation (- 0.083) , the results were a t-statistic of - 0.66 and an associated p-value of 0.530.Which of the following is the best interpretation of this result?


Definitions:

Motion Parallax

A depth cue that involves the apparent relative motion of stationary objects as observed by a moving observer, which aids in depth perception.

Retinal Disparity

The slight difference in the visual images that reach each eye, leading to the perception of depth.

Depth Perception

The visual ability to perceive the world in three dimensions (3D) and the distance of an object.

Linear Perspective

A depth cue in psychology and art, suggesting that parallel lines appear to converge as they recede into the distance.

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