MCQs Time Series 2

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 will help the learner to enhance their knowledge in the field of Time Series.

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


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


3. The time series analysis helps to


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


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


6. Seasonal variation means the variation occurring within:


7. The component of a time series which is attached to short term variation is:


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


9. Residual methods for measuring cycles in a time series consists of:


10. The moving average method suffers from:


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


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


13. Time series analysis helps to:


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


15. 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, years, quarter, and minutes, etc. Time series data means that data is in a series of particular time periods or intervals. Therefore, a set of observations on the values that a variable takes at different times.

Time Series Analysis

Muhammad Imdad Ullah

Currently working as Assistant Professor of Statistics in Ghazi University, Dera Ghazi Khan. Completed my Ph.D. in Statistics from the Department of Statistics, Bahauddin Zakariya University, Multan, Pakistan. l like Applied Statistics, Mathematics, and Statistical Computing. Statistical and Mathematical software used is SAS, STATA, GRETL, EVIEWS, R, SPSS, VBA in MS-Excel. Like to use type-setting LaTeX for composing Articles, thesis, etc.

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