Exam 16: Time-Series Forecasting
Exam 1: Introduction145 Questions
Exam 2: Organizing and Visualizing Data210 Questions
Exam 3: Numerical Descriptive Measures153 Questions
Exam 4: Basic Probability171 Questions
Exam 5: Discrete Probability Distributions218 Questions
Exam 6: The Normal Distribution and Other Continuous Distributions191 Questions
Exam 7: Sampling and Sampling Distributions197 Questions
Exam 8: Confidence Interval Estimation196 Questions
Exam 9: Fundamentals of Hypothesis Testing: One-Sample Tests165 Questions
Exam 10: Two-Sample Tests210 Questions
Exam 11: Analysis of Variance213 Questions
Exam 12: Chi-Square Tests and Nonparametric Tests201 Questions
Exam 13: Simple Linear Regression213 Questions
Exam 14: Introduction to Multiple Regression355 Questions
Exam 15: Multiple Regression Model Building96 Questions
Exam 16: Time-Series Forecasting168 Questions
Exam 17: Statistical Applications in Quality Management133 Questions
Exam 18: A Roadmap for Analyzing Data54 Questions
Exam 19: Questions that Involve Online Topics321 Questions
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A first-order autoregressive model for stock sales is:
Salesᵢ = 800 + 1.2(Sales)ᵢ₋₁.
If sales in 2010 is 6,000,the forecast of sales for 2011 is ________.
(Short Answer)
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TABLE 16-4
The number of cases of merlot wine sold by a Paso Robles winery in an 8-year period follows.
-Referring to Table 16-4,exponentially smooth the wine sales with a weight or smoothing constant of 0.4.

(Essay)
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A trend is a persistent pattern in annual time-series data that has to be followed for several years.
(True/False)
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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
= 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 of X in the regression equation (0.012)which has a p-value of 0.0000.Which of the following is the best interpretation of this result?


(Multiple Choice)
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TABLE 16-5
The number of passengers arriving at San Francisco on the Amtrak cross-country express on 6 successive Mondays were: 60,72,96,84,36,and 48.
-Referring to Table 16-5,the number of arrivals will be exponentially smoothed with a smoothing constant of 0.1.The smoothed value for the sixth Monday will be ________.
(Short Answer)
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TABLE 16-3
The following table contains the number of complaints received in a department store for the first 6 months of last year.
-Referring to Table 16-3,if a three-month moving average is used to smooth this series,how many values would it have?

(Multiple Choice)
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TABLE 16-4
The number of cases of merlot wine sold by a Paso Robles winery in an 8-year period follows.
-Referring to Table 16-4,exponential smoothing with a weight or smoothing constant of 0.4 will be used to smooth the wine sales.The value of E₅,the smoothed value for 2007 is ________.

(Short Answer)
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TABLE 16-13
Given below is the monthly time-series data for U.S.retail sales of building materials over a specific year.
The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:
-Referring to Table 16-13,what is the exponentially smoothed value for the second month using a smoothing coefficient of W = 0.5?





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TABLE 16-8
The manager of a marketing consulting firm has been examining his company's yearly profits.He believes that these profits have been showing a quadratic trend since 1990.He uses Microsoft Excel to obtain the partial output below.The dependent variable is profit (in thousands of dollars),while the independent variables are coded years and squared of coded years,where 1990 is coded as 0,1991 is coded as 1,etc.
-Referring to Table 16-8,the fitted value for 1995 is ________.

(Short Answer)
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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
= 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,using the regression equation,what is the forecast for the revenues in the third quarter of 2010?


(Short Answer)
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TABLE 16-13
Given below is the monthly time-series data for U.S.retail sales of building materials over a specific year.
The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:
-Referring to Table 16-13,what is the exponentially smoothed forecast for the 13ᵗʰ month using a smoothing coefficient of W = 0.5 if the exponentially smooth value for the 10ᵗʰ and 11ᵗʰ month are 9,746.3672 and 9,480.1836,respectively?





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In selecting a forecasting model,you should perform a residual analysis.
(True/False)
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Which of the following methods should not be used for short-term forecasts into the future?
(Multiple Choice)
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TABLE 16-4
The number of cases of merlot wine sold by a Paso Robles winery in an 8-year period follows.
-Referring to Table 16-4,exponential smoothing with a weight or smoothing constant of 0.2 will be used to smooth the wine sales.The value of E₂,the smoothed value for 2004 is ________.

(Short Answer)
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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
= 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,to obtain a forecast for the first quarter of 2009 using the model,which of the following sets of values should be used in the regression equation?


(Multiple Choice)
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Which of the following is not an advantage of exponential smoothing?
(Multiple Choice)
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TABLE 16-13
Given below is the monthly time-series data for U.S.retail sales of building materials over a specific year.
The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:
-Referring to Table 16-13,what is the value of the t test statistic for testing the appropriateness of the third-order autoregressive model?





(Short Answer)
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TABLE 16-13
Given below is the monthly time-series data for U.S.retail sales of building materials over a specific year.
The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:
-Referring to Table 16-13,the best model based on the residual plots is the exponential-trend regression model.





(True/False)
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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 2008 to 2010.The following is the resulting regression equation:
ln Ŷ = 3.37 + 0.117 X - 0.083 Q₁ + 1.28 Q₂ + 0.617 Q₃
where Ŷ is the estimated number of contracts in a quarter
X is the coded quarterly value with X = 0 in the first quarter of 2008.
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?
(Multiple Choice)
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TABLE 16-13
Given below is the monthly time-series data for U.S.retail sales of building materials over a specific year.
The results of the linear trend,quadratic trend,exponential trend,first-order autoregressive,second-order autoregressive and third-order autoregressive model are presented below in which the coded month for the first month is 0:
-Referring to Table 16-13,what is your forecast for the 13ᵗʰ month using the exponential-trend model?





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