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Business Objectives and Strategy

Time series analysis and moving averages

  • 1 thing to know
  • Components 01, 02 and 03

Overview

Recall questions on time series analysis and its four components, calculating three-year moving averages, seasonal and cyclical variation, variations from trend, forecasting with the trend and average seasonal variation, and the limitations of time series analysis.

What you need to know

Answer each one before you reveal it.

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Key term

Name the four components of a time series.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is time series analysis?

    Model answer

    Time series analysis is a method of examining data recorded at regular intervals in order to identify the underlying trend and the variations around it.

  2. 2

    Name the four components of a time series.

    Model answer

    The trend, seasonal variation, cyclical variation and random variation.

  3. 3

    What is the trend in a time series?

    Model answer

    The trend is the underlying long-term direction of the data once short-term fluctuations have been smoothed out.

  4. 4

    Why is a moving average used to identify the trend?

    Model answer

    Averaging several consecutive periods cancels out the ups and downs between them, leaving the underlying direction visible.

  5. 5

    Sales in £m for five consecutive years are 12, 15, 18, 21 and 24. Calculate the three-year moving average centred on the third year.

    Model answer

    The average of 15, 18 and 21 is £18m.

  6. 6

    Sales in £m for five consecutive years are 12, 15, 18, 21 and 24. Calculate the three-year moving average centred on the second year.

    Model answer

    The average of 12, 15 and 18 is £15m.

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