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

 
 
 
 

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

 
 
 
 

3. What is autocorrelation in time-series analysis?

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

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

 
 
 
 

15. A time series consists of __________

 
 
 
 

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

 
 
 
 

17. The time series analysis helps:

 
 
 
 

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

 
 
 
 

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

 
 
 
 

20. The linear trend of a time series indicates 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

R and Data Analysis

Test Preparation MCQs

4 thoughts on “MCQs Time Series Analysis 1”

Leave a Comment

Discover more from Statistics for Data Analyst

Subscribe now to keep reading and get access to the full archive.

Continue reading