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Time series does not relate to
1. Seasonal variations
2. Secular trends
3. Cross Sectional variations
4. Cyclical variations

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Correct Answer - Option 3 : Cross Sectional variations

The correct answer is Cross Sectional Variations

A time series is a sequence of data points that occur in successive order over some period of time. This can be contrasted with cross-sectional data, which captures a point-in-time.

  • A time series is a data set that tracks a sample over time.
  • In particular, a time series allows one to see what factors influence certain variables from period to period.
  • Time series analysis can be useful to see how a given asset, security, or economic variable changes over time.
  • Forecasting methods using time series are used in both fundamental and technical analysis.
  • Although cross-sectional data is seen as the opposite of time series, the two are often used together in practice.

  • Cross-sectional data, or a cross section of a study population, in statistics and econometrics is a type of data collected by observing many subjects (such as individuals, firms, countries, or regions) at the one point or period of time. The analysis might also have no regard to differences in time.

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