Exam 18: Time Series and Forecasting
Exam 1: What Is Statistics59 Questions
Exam 2: Describing Data: Frequency Tables, Frequency Distributions, and Graphic Presentation78 Questions
Exam 3: Describing Data: Numerical Measures71 Questions
Exam 4: Describing Data: Displaying and Exploring Data64 Questions
Exam 5: A Survey of Probability Concepts79 Questions
Exam 6: Discrete Probability Distributions79 Questions
Exam 7: Continuous Probability Distributions82 Questions
Exam 8: Sampling Methods and the Central Limit Theorem71 Questions
Exam 9: Estimation and Confidence Intervals77 Questions
Exam 10: One-Sample Tests of Hypothesis69 Questions
Exam 11: Two-Sample Tests of Hypothesis62 Questions
Exam 12: Analysis of Variance80 Questions
Exam 13: Correlation and Linear Regression84 Questions
Exam 14: Multiple Regression Analysis81 Questions
Exam 15: Nonparametric Methods: Nominal Level Hypothesis Tests107 Questions
Exam 16: Nonparametric Methods: Analysis of Ordinal Data84 Questions
Exam 17: Index Numbers64 Questions
Exam 18: Time Series and Forecasting85 Questions
Exam 19: Statistical Process Control and Quality Management82 Questions
Exam 20: An Introduction to Decision Theory67 Questions
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The time-series component that exhibits fluctuations over more than a year in time above and below the secular trend is ________.
(Multiple Choice)
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The trend forecast equation is
= 50 + 420t. The next forecast is for period 10. The typical seasonal index for period 10 is 0.82. What are the forecast sales for period 10?

(Multiple Choice)
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Which one of the following is not a component of a time series?
(Multiple Choice)
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A typical seasonal index of 103.7 for January indicates that sales for January are below the annual average.
(True/False)
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The Durbin-Watson statistic is used to test for correlated residuals.
(True/False)
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For quarterly seasonal indexes,the total of the adjusted quarterly indexes will equal ________.
(Multiple Choice)
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If the exports (in million $)for the period 2006 through 2010 were $878,$892,$864,$870,and $912,respectively,what are these values called?
(Multiple Choice)
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Which of the following statements about autocorrelation are true?
I. Successive residuals are often correlated in time series because an event in one time period often influences the event in the next period.
II. If residuals are correlated,we can use r as the coefficient of correlation and conduct the common tests of hypothesis about regression coefficients.
III. A Durbin-Watson statistic d is used,instead of directly conducting a hypothesis test on r.
(Multiple Choice)
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What is the logarithmic transformation for the equation
= a + bt?

(Multiple Choice)
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The trend forecast equation is
= 120 + 100t. The next forecast is for period 11. The typical seasonal index for period 11 is 0.82. What are the forecast sales for period 11?

(Multiple Choice)
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For the third quarter,the sales are 1,500 units; the seasonal index for the quarter is 1.15. What are the deseasonalized sales for the quarter?
(Multiple Choice)
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If the time series trend is nonlinear,a transformation of the data is required.
(True/False)
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The forecast for the third quarter is 1,000 units; the seasonal index for the quarter is 1.10. What are the seasonally adjusted sales for the quarter?
(Multiple Choice)
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For an annual time series extending from 2000 through 2010,how many years would be lost in a three-year moving average?
(Multiple Choice)
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What is the long-term behavior of a variable over an extended period of time called?
(Multiple Choice)
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In a time series,economic periods of prosperity followed by recession are described as a(n)________.
(Multiple Choice)
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For the third quarter,the sales are 1,000 units; the seasonal index for the quarter is 1.10. What are the deseasonalized sales for the quarter?
(Multiple Choice)
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To calculate monthly typical seasonal indexes,the specific seasonal indexes must be averaged for ________.
(Multiple Choice)
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The following trend equation is for a manufacturer of women's purses (in millions of purses)based on six years of quarterly data.
= 2.15 + 1.32t The following table provides the seasonal factors for each quarter.
The seasonally adjusted forecast for the second quarter of the fifth year is ________.


(Multiple Choice)
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In the linear trend equation,Y = a + bt,the coefficient b represents ________.
(Multiple Choice)
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