Exam 18: Time Series and Forecasting
Exam 1: Statistics and Data102 Questions
Exam 2: Tabular and Graphical Methods123 Questions
Exam 3: Numerical Descriptive Measures152 Questions
Exam 4: Introduction to Probability148 Questions
Exam 5: Discrete Probability Distributions158 Questions
Exam 6: Continuous Probability Distributions143 Questions
Exam 7: Sampling and Sampling Distributions136 Questions
Exam 8: Interval Estimation131 Questions
Exam 9: Hypothesis Testing116 Questions
Exam 10: Statistical Inference Concerning Two Populations131 Questions
Exam 11: Statistical Inference Concerning Variance120 Questions
Exam 12: Chi-Square Tests120 Questions
Exam 13: Analysis of Variance120 Questions
Exam 14: Regression Analysis140 Questions
Exam 15: Inference With Regression Models125 Questions
Exam 16: Regression Models for Nonlinear Relationships118 Questions
Exam 17: Regression Models With Dummy Variables130 Questions
Exam 18: Time Series and Forecasting125 Questions
Exam 19: Returns, Index Numbers, and Inflation120 Questions
Exam 20: Nonparametric Tests120 Questions
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Prices of crude oil have been steadily rising over the last two years (The Wall Street Journal, December 14, 2010). The monthly data on price per gallon of unleaded regular gasoline in the United States from January 2009 to December 2010 were available. Three trend models were created starting with t = 1 and the following output was generated.
Which of the following is a cubic trend equation used to forecast for the price of regular unleaded gasoline?

(Multiple Choice)
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Which of the following is a similarity between the exponential smoothing method and the moving average method?
(Multiple Choice)
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Quarterly sales of a department store for the last seven years are given in the following table.
The scatterplot shows that the quarterly sales have an increasing trend and seasonality. A linear regression model Sales = β0 + β1Qtr1 + β2Qtr2 + β3Qtr3 + β4t + ε, with dummy variables Qtr1, Qtr2, and Qtr3, is used to make forecasts. For the regression model, the following partial output is available.
What is the regression equation for the linear trend model with seasonal dummy variables?



(Essay)
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If the model yt = Tt × St × It is applied, which of the following indicates no seasonality?
(Multiple Choice)
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