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

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TABLE 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 2010 to 2012.The following is the resulting regression equation:
ln TABLE 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 2010 to 2012.The following is the resulting regression equation: ln   = 3.37 + 0.117 X - 0.083 Q<sub>1</sub> + 1.28 Q<sub>2</sub> + 0.617 Q<sub>3</sub> where   is the estimated number of contracts in a quarter X is the coded quarterly value with X = 0 in the first quarter of 2010 Q<sub>1</sub> is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise Q<sub>2</sub> is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise Q<sub>3</sub> is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise -Referring to Table 16-14,in testing the coefficient for Q<sub>1</sub> 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 (α = 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 (α = 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 (α = 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 (α = 0.05) . = 3.37 + 0.117 X - 0.083 Q1 + 1.28 Q2 + 0.617 Q3
where TABLE 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 2010 to 2012.The following is the resulting regression equation: ln   = 3.37 + 0.117 X - 0.083 Q<sub>1</sub> + 1.28 Q<sub>2</sub> + 0.617 Q<sub>3</sub> where   is the estimated number of contracts in a quarter X is the coded quarterly value with X = 0 in the first quarter of 2010 Q<sub>1</sub> is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise Q<sub>2</sub> is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise Q<sub>3</sub> is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise -Referring to Table 16-14,in testing the coefficient for Q<sub>1</sub> 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 (α = 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 (α = 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 (α = 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 (α = 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 2010
Q1 is a dummy variable equal to 1 in the first quarter of a year and 0 otherwise
Q2 is a dummy variable equal to 1 in the second quarter of a year and 0 otherwise
Q3 is a dummy variable equal to 1 in the third quarter of a year and 0 otherwise
-Referring to Table 16-14,in testing the coefficient for Q1 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:

Test Statistic

A numerical quantity calculated from a sample of data, used in statistical testing to make decisions about a population parameter.

P-value

The probability of achieving outcomes as significant as, or more significant than, the ones observed, under the premise that the null hypothesis is valid.

Test Statistic

A numerical value calculated from sample data during a hypothesis test, used to assess the strength of evidence against the null hypothesis.

Population Proportions

The fraction or percentage of the population that possesses a particular property.

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