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TABLE 16-12 A Local Store Developed a Multiplicative Time-Series Model to Forecast

question 40

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TABLE 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 4-year period from 2005 to 2009. The following is the resulting regression equation:
log₁₀ TABLE 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 4-year period from 2005 to 2009. The following is the resulting regression equation: log₁₀   = 6.102 + 0.012 X - 0.129 Q₁ - 0.054 Q₂ + 0.098 Q₃ where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2005. 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 16-12, in testing the significance of the coefficient for Q₁ in the regression equation (-0.129)  which has a p-value of 0.492. Which of the following is the best interpretation of this result? A)  The revenues in the first quarter of the year are significantly different from the revenues in an average quarter (α = 0.05) . B)  The revenues in the first quarter of the year are not significantly different from the revenues in an average quarter (α = 0.05) . C)  The revenues in the first quarter of the year are significantly different from the revenues in the fourth quarter (α = 0.05) . D)  The revenues in the first quarter of the year are not significantly different from the revenues in the fourth quarter (α = 0.05) . = 6.102 + 0.012 X - 0.129 Q₁ - 0.054 Q₂ + 0.098 Q₃
where TABLE 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 4-year period from 2005 to 2009. The following is the resulting regression equation: log₁₀   = 6.102 + 0.012 X - 0.129 Q₁ - 0.054 Q₂ + 0.098 Q₃ where   is the estimated number of contracts in a quarter. X is the coded quarterly value with X = 0 in the first quarter of 2005. 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 16-12, in testing the significance of the coefficient for Q₁ in the regression equation (-0.129)  which has a p-value of 0.492. Which of the following is the best interpretation of this result? A)  The revenues in the first quarter of the year are significantly different from the revenues in an average quarter (α = 0.05) . B)  The revenues in the first quarter of the year are not significantly different from the revenues in an average quarter (α = 0.05) . C)  The revenues in the first quarter of the year are significantly different from the revenues in the fourth quarter (α = 0.05) . D)  The revenues in the first quarter of the year are not significantly different from the revenues in the fourth quarter (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 2005.
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 16-12, in testing the significance of the coefficient for Q₁ in the regression equation (-0.129) which has a p-value of 0.492. Which of the following is the best interpretation of this result?


Definitions:

Scatterplot

A graphical representation using dots to show the relationship between two quantitative variables.

Correlation

A gauge that determines the extent of simultaneous variations between two or more variables.

Lurking Variable

A variable that is not directly measured but affects the variables of interest in a study, potentially confounding the results.

Heights

Refers to the measurement of vertical length, either of an individual or object, typically measured from base to top.

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