2759 Fitting Trend Lines And Forecasting (Seasonal Data)

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| By Anthony Nunan
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Anthony Nunan
Community Contributor
Quizzes Created: 136 | Total Attempts: 44,016
Questions: 44 | Attempts: 158

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2759 Fitting Trend Lines And Forecasting (Seasonal Data) - Quiz

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

    Correct Answer
    B. Yes, it appears to have seasonal variation that needs to be deseasonalised
    Explanation
    The correct answer is "Yes, it appears to have seasonal variation that needs to be deseasonalised." This is because the time series plot shows a clear pattern of regular ups and downs, indicating that there is a seasonal component present in the data. Deseasonalising the data will help to remove this seasonal variation and allow for a more accurate calculation of the trend line.

    Rate this question:

  • 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

    Correct Answer
    B. Yes, it appears to have seasonal variation that needs to be deseasonalised
    Explanation
    The correct answer is "Yes, it appears to have seasonal variation that needs to be deseasonalised." This is because the time series plot shows a clear pattern that repeats at regular intervals, indicating the presence of seasonality. Deseasonalising the data would remove this seasonal variation, allowing for a more accurate calculation of the trend line.

    Rate this question:

  • 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

    Correct Answer
    B. Yes, it appears to have seasonal variation that needs to be deseasonalised
    Explanation
    The correct answer is Yes, it appears to have seasonal variation that needs to be deseasonalised. This is because the time series plot shows a clear pattern of repeating highs and lows at regular intervals, indicating the presence of seasonality. Deseasonalising the data will remove this seasonal variation and allow for a more accurate calculation of the trend line.

    Rate this question:

  • 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

    Correct Answer
    B. Yes, it appears to have seasonal variation that needs to be deseasonalised
    Explanation
    The correct answer is "Yes, it appears to have seasonal variation that needs to be deseasonalised." This is because the time series plot shows a repeating pattern or cycle, indicating the presence of seasonality. To accurately calculate the trend line, it is necessary to remove the seasonal component from the data.

    Rate this question:

  • 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

    Correct Answer
    C. No, it appears to have cyclic variation which requires smoothing
    Explanation
    The correct answer is No, it appears to have cyclic variation which requires smoothing. This is because the time series plot shows a repeating pattern or cycle, indicating that there is some form of cyclic variation present in the data. In order to calculate a trend line accurately, it is necessary to remove or smooth out this cyclic variation.

    Rate this question:

  • 6.