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. Linear trend of a time series indicates towards:


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


3. Time series analysis helps to:


4. Seasonal variation means the variation occurring within:


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


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


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


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


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


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


11. The moving average method suffers from:


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


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


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


15. The time series analysis helps to


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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