STAT TECH IN BUSINESS & ECON AC
18th Edition
ISBN: 9781264731657
Author: Lind
Publisher: MCG
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Chapter 18, Problem 4E
To determine
To explain: The similarities and differences between the seasonal and cyclical patterns of a time series.
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A time series that shows a recurring pattern over one year or less is said to follow a a. horizontal pattern. b. stationary pattern. c. seasonal pattern. d. cyclical pattern
Chapter 18 Solutions
STAT TECH IN BUSINESS & ECON AC
Ch. 18 - Prob. 1ECh. 18 - Prob. 2ECh. 18 - Prob. 3ECh. 18 - Prob. 4ECh. 18 - Prob. 1SRCh. 18 - Prob. 5ECh. 18 - Prob. 6ECh. 18 - Prob. 7ECh. 18 - Prob. 8ECh. 18 - Prob. 2SR
Ch. 18 - Prob. 9ECh. 18 - Prob. 10ECh. 18 - Prob. 11ECh. 18 - Prob. 12ECh. 18 - Prob. 3SRCh. 18 - Prob. 13ECh. 18 - Prob. 14ECh. 18 - Prob. 15ECh. 18 - Prob. 16ECh. 18 - Prob. 17ECh. 18 - Prob. 18ECh. 18 - Prob. 4SRCh. 18 - Prob. 19ECh. 18 - Prob. 20ECh. 18 - Prob. 21ECh. 18 - Prob. 22ECh. 18 - Prob. 23CECh. 18 - Prob. 24CECh. 18 - Prob. 25CECh. 18 - Prob. 26CECh. 18 - Prob. 27CECh. 18 - Prob. 28CECh. 18 - Prob. 29CECh. 18 - Prob. 30CECh. 18 - Prob. 31CECh. 18 - Prob. 32CECh. 18 - Prob. 33CECh. 18 - Prob. 34CECh. 18 - Prob. 35CECh. 18 - Prob. 1PCh. 18 - Prob. 2PCh. 18 - Prob. 3PCh. 18 - Prob. 1.1PTCh. 18 - Prob. 1.2PTCh. 18 - Prob. 1.3PTCh. 18 - Prob. 1.4PTCh. 18 - Prob. 1.5PTCh. 18 - Prob. 1.6PTCh. 18 - Prob. 1.7PTCh. 18 - Prob. 1.8PTCh. 18 - Prob. 1.9PTCh. 18 - Prob. 1.10PTCh. 18 - Prob. 2.1PTCh. 18 - Prob. 2.2PTCh. 18 - Prob. 2.3PT
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- Recurrent upward and downward movements in a time series are called_________________. a. Secular Trend b. Irregular Variations c. Cyclical Variations d. Seasonal Variationsarrow_forwardDescribe the following time-series patterns: a. Horizontal Pattern b. Trend Pattern c. Seasonal Pattern d. Cyclical Patternarrow_forwardTrue or false: In a Time-series plot, the vertical axis represents time.arrow_forward
- What characteristics would you expect from a time series that describes the number of vehicles travelling through the road Gotthard tunnel each day from the 1st of January 1985 to the 1st of January 2000? Select one or more: O a. An yearly seasonal component. O b. Trying to do forecasting is pointless. O C. An increasing trend. O d. Some degree of noise. O e. A weekly seasonal component.arrow_forwardThe fire in a factory is an example of: O A. Seasonal movements O B. Cyclical variations C. Irregular variations D. Secular trendarrow_forward3. Plot the below data in a graph and identify the Time Series Pattern it exhibits and briefly explain why. QUARTER DATA 1st Qtr, 2020 40 2nd Qtr, 2020 30 3rd Qtr, 2020 50 4th Qtr, 2020 20 1st Qtr, 2021 35 2nd Qtr, 2021 25 3rd Qtr 2021 45 4th Qtr 2021 30arrow_forward
- Interpret the time plot. What are the components you can observe in the time series plot? Is the data stationary? Explainarrow_forwardFor each of the following common patterns found in time series, identify a reasonableexample from the real-world that would likely exhibit this pattern.a. Horizontalb. Trendc. Seasonalityd. Cyclicalarrow_forwardS. The numbers of worldwide airline fatalities are given below. Use a time series chart to display the data. Year 1988 1989 1990 1991 1992 1993 1994 No, of fatalities 699 817 440 510 990 801 732arrow_forward
- Time series data usually shows a pattern, which is caused by a systematic and unsystematic pattern. What are the causes of systematic patterns in time series data?arrow_forwardTable 7 shows the seasonal factors for a monthly time series: Table 7 Month Seasonal Month Factor January -358.1 May February -196.3 June March 12.5 July April 187.4 August Describe the seasonal variation in this time series. Seasonal Factor 487.2 276.1 -27.9 -124.6 Month September October November December Seasonal Factor -136.7 92.6 70.4 -282.6arrow_forwardDescribe the three major categories of data (time-series, cross-sectional, and panel).arrow_forward
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