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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:

Monopolistically Competitive Firm

A firm that operates in a market with many competitors, each offering a slightly different product.

Profit-Maximizing Quantity

The level of production at which a firm achieves the highest possible profit, where marginal revenue equals marginal cost.

Marginal Revenue

Marginal Revenue refers to the increase in revenue resulting from the sale of one additional unit of a product or service.

Marginal Cost

The growth in the total amount of costs resulting from the manufacture of one more unit of a good or service.

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