Time Series MCQ Questions & Answers

Time Series MCQs : This section focuses on "Basics" of Time Series. These Multiple Choice Questions (MCQ) should be practiced to improve the Time Series skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations.

1. A ___________ is a sequence of observations over a certain period.

A. Theano
B. Scikit
C. Time series
D. Tensor

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2. A time series has ______ components.

A. 1
B. 2
C. 3
D. 4

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3. Which of the following is the cyclic behavior of time series?

A. Level
B. Trend
C. Seasonality
D. Noise

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4. LSTM stands for?

A. Long Short-Term Model
B. Long Short-Term Memory model
C. Long Short Memory model
D. LS Memory model

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5. Level is the mean value around which the series varies.

A. TRUE
B. FALSE
C. Can be true or false
D. Can not say

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6. ____________ is a technique for smoothing univariate time-series by assigning exponentially decreasing weights to data over a time period.

A. Walk Forward Validation
B. Prophet Model
C. LSTM Model
D. Exponential Smoothing

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7. Facebook open sourced the prophet model which was capable of modelling the time series with strong multiple seasonalities at?

A. day level
B. week level
C. year level
D. All of the above

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8. Which of the following is the square root of the mean square error?

A. AMSQ
B. RMSE
C. AMSE
D. RMES

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9. Mean Absolute Error is the average of absolute difference between?

A. normal values and true values
B. predicted values and imaginary values
C. predicted values and true values
D. imaginary values and true values

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10. Noise is the error in the observations added due to environmental factors.

A. Yes
B. No
C. Can be yes or no
D. Can not say

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