# 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

View Answer

Ans : C

Explanation: A time series is a sequence of observations over a certain period.

2. A time series has ______ components.

A. 1

B. 2

C. 3

D. 4

View Answer

Ans : D

Explanation: A time series has 4 components : Level, Trend, Seasonality and Noise

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

A. Level

B. Trend

C. Seasonality

D. Noise

View Answer

Ans : C

Explanation: Seasonality : It is the cyclic behavior of time series.

4. LSTM stands for?

A. Long Short-Term Model

B. Long Short-Term Memory model

C. Long Short Memory model

D. LS Memory model

View Answer

Ans : B

Explanation: Long Short-Term Memory model (LSTM) is a recurrent neural network which is used for time series to account for long term dependencies.

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

View Answer

Ans : A

Explanation: True, Level is the mean value around which the series varies.

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

View Answer

Ans : D

Explanation: Exponential Smoothing is a technique for smoothing univariate time-series by assigning exponentially decreasing weights to data over a time period.

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

View Answer

Ans : D

Explanation: In 2017, Facebook open sourced the prophet model which was capable of modelling the time series with strong multiple seasonalities at day level, week level, year level etc.

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

A. AMSQ

B. RMSE

C. AMSE

D. RMES

View Answer

Ans : B

Explanation: Root Mean Square Error : It is the square root of the mean square error. It is also always positive and is in the range of the data.

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

View Answer

Ans : C

Explanation: Mean Absolute Error : It is the average of absolute difference between predicted values and true values.

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

View Answer

Ans : A

Explanation: Yes, Noise is the error in the observations added due to environmental factor

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