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Time Series Analysis

Time series analysis focuses on studying data collected over time to identify patterns, trends, and seasonality. It is essential for forecasting future values and understanding the temporal dynamics of a phenomenon.

Which test checks stationarity?
  1. A-ADF
  2. B-Ljung-Box
  3. C-Jarque-Bera
  4. D-Durbin-Watson
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Which model handles seasonality & trend?
  1. A-ARIMA
  2. B-SES
  3. C-Holt-Winters
  4. D-Prophet
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What is the most common method for evaluating the accuracy of a time series forecast?
  1. A-Mean squared error (MSE)
  2. B-Root mean squared error (RMSE)
  3. C-Mean absolute error (MAE)
  4. D-All of the above are commonly used metrics.
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Which component of a time series represents long-term trends?
  1. A-Trend
  2. B-Seasonality
  3. C-Cyclicity
  4. D-Irregularity
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What is a time series?
  1. A-A collection of data points indexed by time.
  2. B-A type of statistical analysis focusing on trends and patterns over time.
  3. C-A specific software program used for time series forecasting.
  4. D-All of above
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