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Time Series Analysis Multiple Choice Questions and Answers | Time Series Analysis MCQs Quiz

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Free download in PDF Time Series Analysis Multiple Choice Questions and Answers for competitive exams. These short objective type questions with answers are very important for Board exams as well as competitive exams like UPSC, NDA, SSC etc. These short solved questions or quizzes are provided by Gkseries./p>

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(1) Time series data have a total number of components?
[A] 3
[B] 6
[C] 5
[D] 4
Answer: 4
(2) Seasonal variations are
[A] Short term variation
[B] Long term variation
[C] Sudden variation
[D] None
Answer: Short term variation

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(3) In moving average method we cannot find trend values of some
[A] End Periods
[B] Middle Period
[C] Starting and End Periods
[D] Starting Periods
Answer: Starting and End Periods
(4) The most commonly used mathematical method for measuring the trend is
[A] Semi Average
[B] Moving Average
[C] Free Hand Curve
[D] Least Squares
Answer: Least Squares
(5) A rise in prices before Eid is an example of
[A] Cyclical Trend
[B] Secular Trend
[C] Irregular Trend
[D] Seasonal Trend
Answer: Seasonal Trend
(6) Which of the following is an example of time series problem?

1. Estimating number of hotel rooms booking in next 6 months.

2. Estimating the total sales in next 3 years of an insurance company.

3. Estimating the number of calls for the next one week.

[A] Only 3
[B] 1 and 2
[C] 2 and 3
[D] 1,2 and 3
Answer: 1,2 and 3
(7) Which of the following is not an example of a time series model?
[A] Naive approach
[B] Exponential smoothing
[C] Moving Average
[D] None of the above
Answer: None of the above
(8) Sum of weights in exponential smoothing is _____.
[A] <1
[B] 1
[C] >1
[D] None of the above
Answer: 1
(9) The last period’s forecast was 70 and demand was 60. What is the simple exponential smoothing forecast with alpha of 0.4 for the next period.
[A] 63.8
[B] 65
[C] 62
[D] 66
Answer: 66
(10) What does autocovariance measure?
[A] Linear dependence between multiple points on the different series observed at different times
[B] Quadratic dependence between two points on the same series observed at different times
[C] Linear dependence between two points on different series observed at same time
[D] Linear dependence between two points on the same series observed at different times
Answer: Linear dependence between two points on the same series observed at different times

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