Muhammad Imdad Ullah

The post is about Time Series MCQs Quiz. There are 20 multiple-choice questions related to components of time series, additive model for time series, multiplicative models for time series, moving average models, autoregressive models, and mathematical methods for measuring the trend. Let us start with Time Series MCQS.

Online MCQs about Time Series Analysis and Forecasting

1. In an AutoRegression (AR) model with an order of 2 (AR(2)), how many of the most recent lagged values are considered predictors for the current value?

 0

 1

 1

 3

2. Additive model for time series Y = . . .

 T $\times$ S $\times$ C $\times$ I

 None of these

 T + S + C + I

 T $-$ S $-$ C $-$ I

3. The best-fitted trend line is one for which the sum of squares of residuals or errors is

 Minimum

 Positive

 1

 Negative

 Maximum

4. In a Moving Average (MA) model with an order of 3 (MA(3)), how many of the most recent lagged values are used to calculate the forecast for the current time step?

 3

 2

 4

 1

5. In the moving average method, we cannot find the trend values of some

 End Periods

 Starting Periods

 Starting and End Periods

 Middle Period

6. A rise in prices before Eid is an example of

 Seasonal Trend

 Secular Trend

 Cyclical Trend

 Irregular Trend

7. A set of observations recorded at an equal interval of time is called

 Geometric Series

 Array data

 Data

 Time series data

8. In the theory of time series, a shortage of certain consumer goods before the annual budget is due to

 Irregular Variations

 Seasonal Variation

 Secular Trend

 Cyclical Variation

9. Prosperity, Recession, and depression in a business is an example of

 Seasonal Trend

 Irregular Trend

 Secular Trend

 Cyclical Trend

10. The multiplicative model for time series is Y = . . .

 T $-$ S $-$ C $-$ I

 None of these

 T + S + C + I

 T $\times$ S $\times$ C $\times$ I

11. The following are the movement(s) in the secular trend

 Steady

 Regular

 None of these

 Smooth

12. What is the primary purpose of the Moving Average (MA) model in time series analysis?

 To capture and model trends in the data.

 To account for seasonality in the data.

 To estimate the effects of external factors on time series.

 To smooth out random noise in the data.

13. What is the primary purpose of the inverse transformation in time-series analysis?

 To add noise to the time series.

 To visualize data distribution.

 To create lag features.

 To recover the original scale of the data after a transformation.

14. In the measurement of the secular trend, the moving averages:

 None of these

 Smooth out the time series

 Give the trend in a straight line

 Measure the seasonal variations

15. The most commonly used mathematical method for measuring the trend is

 Semi Average

 Least Squares

 Free Hand Curve

 Moving Average

16. Time series data have a total number of components?

 3

 4

 6

 5

17. Seasonal variations are

 Long term variation

 Sudden variation

 Short term variation

 None

18. What does the term “AutoRegression” mean in the context of time series modeling?

 Modeling seasonal patterns in time series data.

 Modeling the relationship between a variable and its past values.

 Modeling the effects of external factors on time series data.

 Modeling relationships between multiple time series.

19. A fire in a factory delaying production for some weeks is

 Cyclical Trend

 Secular Trend

 Irregular Trend

 Seasonal Trend

20. The graph of time series is called

 Historigram

 Trend

 Line graph

 Histogram

 Loading …

Online Time Series MCQs

• Additive model for time series Y = . . .
• The most commonly used mathematical method for measuring the trend is
• A rise in prices before Eid is an example of
• Prosperity, Recession, and depression in a business is an example of
• In the moving average method, we cannot find the trend values of some
• Seasonal variations are
• A fire in a factory delaying production for some weeks is
• The multiplicative model for time series is Y = . . .
• In the theory of time series, a shortage of certain consumer goods before the annual budget is due to
• A set of observations recorded at an equal interval of time is called
• The best-fitted trend line is one for which the sum of squares of residuals or errors is
• The graph of time series is called
• In the measurement of the secular trend, the moving averages:
• The following are the movement(s) in the secular trend
• Time series data have a total number of components?
• What is the primary purpose of the inverse transformation in time-series analysis?
• What does the term “AutoRegression” mean in the context of time series modeling?
• In an AutoRegression (AR) model with an order of 2 (AR(2)), how many of the most recent lagged values are considered predictors for the current value?
• In a Moving Average (MA) model with an order of 3 (MA(3)), how many of the most recent lagged values are used to calculate the forecast for the current time step?
• What is the primary purpose of the Moving Average (MA) model in time series analysis?

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The post is about MCQs Time Series Quiz. There are 20 multiple-choice questions related to components of a time series, multiplicative model of a time series, trend equation, simple average method, and moving average analysis. Let us start with the MCQS Times Series Quiz.

Please go to Important MCQs Time Series Quiz 2 to view the test

MCQs Time Series Quiz

• Irregular variations in a time series are caused by
• An additive model of a time series with the components $T, S, C$, and $I$ is
• I multiplicative model of a time series with components $T, S, C,$ and $I$ is
• A method full of subjectivity to find out the trend line is
• If the origin in a trend equation is shifted forward by 3 years, $X$ in the equation $Y=a+bx$ will be replaced by:
• If the origin in the trend equation $Y=a+bx$ is shifted backward by 2 years, the variable $X$ in the trend equation will be replaced by
• If the trend line with 1995 as the origin is $Y = 20.6 + 1.68 X$, the trend line with origin 1991 is
• The equation $Y= \alpha \beta^x$ represents
• The simple average method is used to calculate
• Irregular variations are
• A simple average method for finding out seasonal indices is good when
• The moving average in a time series is free from the influences of:
• Value of $b$ in the trend line $Y=a+bX$ is
• A time series consists of
• For the given five values 15, 24, 18, 33, 42, the three years moving averages are:
• What is the primary purpose of a seasonal decomposition plot in time series analysis?
• In time series analysis, what type of plot is commonly used to visualize the autocorrelation of a time series?
• In time series feature engineering, what is a lag feature?
• In time series analysis, what is the purpose of scaling features?
• What is a common approach to handling missing data in time-series analysis?

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The post is about MCQs Time Series Analysis. There are 20 multiple-choice questions related to time series data, components of time series, least square method, objective of times series, differencing time series, decomposing a time series, and log transformation. Let us start with the MCQs time series analysis.

Please go to Best MCQs Time Series Analysis 1 to view the test

MCQs Time Series Analysis

• A time series data is a set of data recorded at
• The time series analysis helps:
• A time series consists of ————.
• The forecasts on the basis of a time series are ————-.
• The component of a time series attached to long-term variations is termed as ————.
• The sales of a shopkeeper are associated with the component of a time series
• The secular trend is indicative of long-term variation towards
• The linear trend of a time series indicates towards ———–.
• The method of least squares to fit in the trend is applicable only if the trend is ————.
• The sequence which follows an irregular or random pattern of variation is called ————.
• Three are ———– main components of a time series.
• The systematic components of a time series which follow regular pattern of variations are called
• Which of the following is an example of irregular variation?
• If a straight line is fitted to the time series, then
• What is autocorrelation in time-series analysis?
• In time-series analysis, what does “T” typically represent?
• What is the primary objective of differencing in time-series transformation?
• What is the purpose of log transformation in time-series analysis?
• What is the key objective of decomposing a time series in time-series analysis?
• What technique is commonly used for handling seasonality in time-series feature engineering?

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