Deck 12: Time-Series Analysis

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Question
A long-term movement in the data (a systematic tendency for a series to either increase or decrease) is called a?

A) Trend
B) Cycle
C) Seasonality
D) Window
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Question
What is the definition of autocorrelation?

A) The data are hierarchically structured
B) There is absence of multicollinearity
C) The variance of the residuals is unequal over a range of measured values
D) The correlation of a series with its own lagged or future values
Question
Which statistical test is commonly employed to detect autocorrelation?

A) Cook's D
B) Durbin-Watson
C) Hausman
D) Huber-White
Question
What is a stationary time series?

A) A series where the mean, variance and covariance does not change over time
B) A series where the mean, variance and covariance does change over time
C) A series where the probability distribution does not change over time
D) A series where the probability distribution does change over time
Question
Which model can be used to include multiple time series?

A) Arima model
B) Vector autoregression
C) Unit root
D) Correlogram
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Deck 12: Time-Series Analysis
1
A long-term movement in the data (a systematic tendency for a series to either increase or decrease) is called a?

A) Trend
B) Cycle
C) Seasonality
D) Window
A
2
What is the definition of autocorrelation?

A) The data are hierarchically structured
B) There is absence of multicollinearity
C) The variance of the residuals is unequal over a range of measured values
D) The correlation of a series with its own lagged or future values
D
3
Which statistical test is commonly employed to detect autocorrelation?

A) Cook's D
B) Durbin-Watson
C) Hausman
D) Huber-White
B
4
What is a stationary time series?

A) A series where the mean, variance and covariance does not change over time
B) A series where the mean, variance and covariance does change over time
C) A series where the probability distribution does not change over time
D) A series where the probability distribution does change over time
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5
Which model can be used to include multiple time series?

A) Arima model
B) Vector autoregression
C) Unit root
D) Correlogram
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