MCQs Time Series Analysis 1

In this test, the MCQs Time Series Analysis and Forecasting will help to prepare for exams related to statistics lecturer job,  and statistical officer job tests. These MCQs Time Series Analysis will help the learner to enhance their knowledge in the field of Time Series. Let us start with the Online MCQs Time Series Analysis Quiz.

Online MCQs about Time Series Data Analysis and Forecasting

1. What is the purpose of log transformation in time-series analysis?

 
 
 
 

2. A time series consists of __________

 
 
 
 

3. The linear trend of a time series indicates towards ____________.

 
 
 
 

4. What technique is commonly used for handling seasonality in time-series feature engineering?

 
 
 
 

5. The sequence which follows an irregular or random pattern of variation is called _______.

 
 
 
 

6. The forecasts on the basis of a time series are ______________

 
 
 
 

7. The sales of a shopkeeper are associated with the component of a time series

 
 
 
 

8. Three are __________ main components of a time series.

 
 
 
 

9. The time series analysis helps:

 
 
 
 

10. The method of least squares to fit in the trend is applicable only if the trend is __________.

 
 
 
 

11. If a straight line is fitted to the time series, then

 
 
 
 

12. What is the primary objective of differencing in time-series transformation?

 
 
 
 

13. A time series data is a set of data recorded at

 
 
 
 

14. What is the key objective of decomposing a time series in time-series analysis?

 
 
 
 

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

 
 
 
 

16. In time-series analysis, what does “T” typically represent?

 
 
 
 

17. What is autocorrelation in time-series analysis?

 
 
 
 

18. Which of the following is an example of irregular variation?

 
 
 
 

19. The systematic components of a time series which follow regular pattern of variations are called

 
 
 
 

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

 
 
 
 


Time series analysis deals with the data observed with some time-related units such as a month, day, year, quarter, minutes, etc. Time series data means that data is in a series of particular periods or intervals.  Therefore, a set of observations on the values that a variable takes at different times.

MCQs Time Series Analysis

  • A time series data is a set of data recorded at
  • The time series analysis helps:
  • A time series consists of _______
  • The forecasts on the basis of a time series are _______
  • The component of a time series attached to long-term variations is termed as _______.
  • The sales of a shopkeeper are associated with the component of a time series
  • The secular trend is indicative of long-term variation towards
  • The linear trend of a time series indicates towards _______.
  • The method of least squares to fit in the trend is applicable only if the trend is ______.
  • The sequence which follows an irregular or random pattern of variation is called _______.
  • Three are _________ main components of a time series.
  • The systematic components of a time series which follow a regular pattern of variations are called
  • Which of the following is an example of irregular variation?
  • If a straight line is fitted to the time series, then
  • What is autocorrelation in time-series analysis?
  • In time-series analysis, what does “T” typically represent?
  • What is the primary objective of differencing in time-series transformation?
  • What is the purpose of log transformation in time-series analysis?
  • What is the key objective of decomposing a time series in time-series analysis?
  • What technique is commonly used for handling seasonality in time-series feature engineering?
MCQs Time Series Analysis

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