University of Manitoba ECONOMICS 2020-REVIEWED BY EXPERTS 2021

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Name: __________________________ Date: _____________ 1. The term autocorrelation refers to: A) a persistent, long-term rise and fall. B) a prediction of a future value of a time series. C) averagi... ng the last k values of a time series. D) measuring the strength of the linear relationship between successive values of the same variable. 2. A common departure from a random process could be: A) trend. B) seasonality. C) autoregressive behavior. D) All of the answers are correct. 3. A long-term increase or decrease in a time series is known as: A) a trend. B) seasonal. C) cyclical. D) a random process. 4. A time series that exhibits rises and falls that are of a known fixed period is called: A) a trend. B) seasonal. C) cyclical. D) a random process. 5. A time series that exhibits rises and falls that are not of a fixed period is called: A) a trend. B) seasonal. C) cyclical. D) a random process. 6. A time series that is uncorrelated over time is called: A) a trend. B) seasonal. C) cyclical. D) a random process. Page 17. An ACF plot displays the correlation: A) between values k periods apart for a range of values of k. B) between values k periods apart, after adjusting for the effects of the lag 1 through k – 1 autocorrelations. C) for all possible subsets of size k. D) None of the answers is corre [Show More]

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