Best MCQs Time Series Analysis Quiz 4

The post is about the Time Series Analysis Quiz. There are 20 multiple-choice questions related to moving averages, components of time series, Time series analysis, Arima model, and moving average model. Let us start the Time Series Analysis Quiz.

Online MCQs Time Series Analysis and Forecasting

1. Which of the following is a key step in the ARIMA modeling process?

 Performing differencing to achieve stationarity in the time series.

 Fitting the model without considering past values.

 Selecting the most complex model with the highest number of parameters.

 Ignoring seasonality in the data to simplify the model.

2. In an ARIMA model, what does the “MA” part of the acronym ARIMA represent?

 Maximum Accuracy

 Moving Average

 Mean Absolute Error

 Model Adjustment

3. The moving averages in a time series are free from the influence of:

 Trend and cyclical variations

 Seasonal and cyclic variations

 Seasonal and irregular variations

 Trend and random variations

4. The secular trend is indicative of long-term variation towards:

 None of these

 Decrease only

 Increase only

 Either increase or decrease

5. The component of a time series that is attached to short-term variation is:

 Cyclic variation

 Irregular variation

 Seasonal variation

 All of the above

6. The general decline in sales of a product is attached to the component of the time series:

 All of the above

 Seasonal variation

 Secular trend

 Cyclical variation

7. Residual methods for measuring cycles in a time series consist of:

 Removing the seasonal variation from the series

 Removing the influences of the trend, seasonal and irregular variations

 Removing the trend from the series

 None of these

8. The time series analysis helps to

 Know the behaviour of business

 Make predictions

 All

 Compare the two or more time series

9. Link relatives in a time series remove the influence of

 The trend

 Irregular variation

 Cyclic variation

 All of the above

10. Which of the following is a key limitation of the Moving Average (MA) model?

 It requires complex feature engineering.

 It is not suitable for modeling seasonality in time series data.

 It cannot capture trend patterns in the data.

 It is sensitive to outliers in the data.

11. The best method for finding out seasonal variation is:

 None of these

 Simple average method

 Ratio to moving average method

 Ratio to trend method

12. Irregular variations in a time series are caused by:

 All of the above

 Floods

 Lockouts and strikes

 Epidemics

13. The linear trend of a time series indicates towards:

 All of the above

 Constant rate of growth

 Change in geometric progression

 Constant rate of change

14. Seasonal variation means the variation occurring within:

 Parts of a months

 A number of years

 Parts of a year

 None of the above

15. The component of a time series attached to long-term variations is termed as:

 Cyclic variation

 All of the above

 Secular trend

 Irregular variation

16. What does seasonality in data refer to?

 Patterns or fluctuations that occur at regular intervals over time.

 The variability of data points within a single observation.

 The presence of missing values in a time series.

 The trend in the data that shows a consistent increase or decrease.

17. In a Moving Average (MA) model, what does the “order q” represent?

 The number of lagged values used as predictors.

 The number of observations in the time series dataset.

 The order of differencing applied to the time series data.

 The degree of seasonality in the data.

18. The forecasts on the basis of a time series are:

 True to some extent

 Never true

 100% true

 None of these

19. The moving average method suffers from:

 The loss of information

 The decision about the number of years in groups

 The element of subjectivity

 All of the above

20. Time series analysis helps to:

 Plan future operations

 Predict the future behaviour of a variable

 Understand the behaviour of a variable in the past

 All of the above

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Time Series Analysis Quiz

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• The moving averages in a time series are free from the influence of:
• Seasonal variation means the variation occurring within:
• The time series analysis helps to
• The moving average method suffers from:
• The secular trend is indicative of long-term variation towards:
• Link relatives in a time series remove the influence of
• Residual methods for measuring cycles in a time series consist of:
• The component of a time series that is attached to short-term variation is:
• The general decline in sales of a product is attached to the component of the time series:
• The linear trend of a time series indicates towards:
• The component of a time series attached to long-term variations is termed as:
• Time series analysis helps to:
• Irregular variations in a time series are caused by:
• The best method for finding out seasonal variation is:
• The forecasts on the basis of a time series are:
• What does seasonality in data refer to?
• Which of the following is a key step in the ARIMA modeling process?
• In an ARIMA model, what does the “MA” part of the acronym ARIMA represent?
• Which of the following is a key limitation of the Moving Average (MA) model?
• In a Moving Average (MA) model, what does the “order q” represent?

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