Time Series Analysis Short Type Questions and Answers | Time Series Analysis MCQs Quiz

1 Which of the following is not a necessary condition for weakly stationary time series?

2 Which of the following is not a technique used in smoothing time series?

3 If the demand is 100 during October 2016, 200 in November 2016, 300 in December 2016, 400 in January 2017. What is the 3-month simple moving average for February 2017?

4 Suppose, you are a data scientist at Analytics Vidhya. And you observed the views on the articles increases during the month of Jan-Mar. Whereas the views during Nov-Dec decreases.

Does the above statement represent seasonality?

5 Which of the following graph can be used to detect seasonality in time series data?

1. Multiple box

2. Autocorrelation

6 Stationarity is a desirable property for a time series process.

7 Imagine, you are working on a time series dataset. Your manager has asked you to build a highly accurate model. You started to build two types of models which are given below.

Model 1: Decision Tree model

Model 2: Time series regression model

At the end of evaluation of these two models, you found that model 2 is better than model 1. What could be the possible reason for your inference?

8 Consider the following set of data:

{23.32 32.33 32.88 28.98 33.16 26.33 29.88 32.69 18.98 21.23 26.66 29.89}

What is the lag-one sample autocorrelation of the time series?

9 Any stationary time series can be approximately the random superposition of sines and cosines oscillating at various frequencies.

10 Two time series are jointly stationary if _____ ?