2759 Fitting Trend Lines And Forecasting (Seasonal Data)

8 Questions | Total Attempts: 82

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2759 Fitting Trend Lines And Forecasting (Seasonal Data)

Questions and Answers
  • 1. 
    From the time series plot above, should you deseasonalise the data before calculating the trend line?
    • A. 

      No, it appears to have random variation only.

    • B. 

      Yes, it appears to have seasonal variation that needs to be deseasonalised

    • C. 

      No, it appears to have cyclic variation that needs to be randomised

    • D. 

      No, it appears to have cyclic variation

  • 2. 
    From the time series plot above, should you deseasonalise the data before calculating the trend line?
    • A. 

      No, it appears to have random variation only.

    • B. 

      Yes, it appears to have seasonal variation that needs to be deseasonalised

    • C. 

      No, it appears to have cyclic variation that needs to be randomised

    • D. 

      Yes, it appears to have cyclic variation

  • 3. 
    From the time series plot above, should you deseasonalise the data before calculating the trend line?
    • A. 

      No, it appears to have random variation only.

    • B. 

      Yes, it appears to have seasonal variation that needs to be deseasonalised

    • C. 

      No, it appears to have cyclic variation which requires smoothing

    • D. 

      Yes, it appears to have cyclic variation

  • 4. 
    From the time series plot above, should you deseasonalise the data before calculating the trend line?
    • A. 

      No, it appears to have random variation only.

    • B. 

      Yes, it appears to have seasonal variation that needs to be deseasonalised

    • C. 

      No, it appears to have cyclic variation

    • D. 

      Yes, it appears to have cyclic variation

  • 5. 
    From the time series plot above, should you deseasonalise the data before calculating the trend line?
    • A. 

      No, it appears to have random variation only.

    • B. 

      Yes, it appears to have seasonal variation that needs to be deseasonalised

    • C. 

      No, it appears to have cyclic variation which requires smoothing

    • D. 

      Yes, it appears to have cyclic variation

  • 6. 
    From the time series plot above, should you deseasonalise the data before calculating the trend line?
    • A. 

      No, it appears to have random variation only.

    • B. 

      Yes, it appears to have seasonal variation that needs to be deseasonalised

    • C. 

      No, it appears to have cyclic variation which requires smoothing

    • D. 

      Yes, it appears to have cyclic variation which we can deseasonalise

  • 7.