Which method in time series analysis involves comparing actual values with predicted values to assess forecast accuracy?
A. Residual Analysis
B. White Noise Testing
C. Cross-Validation
D. Autoregressive Integrated Moving Average (ARIMA)
Answer: Option C
This Question Belongs to Data Science >> Time Series Analysis
Related Questions on Time Series Analysis
What is the primary characteristic of a time series data set?
A. Random data
B. Data points are not related
C. Data is collected at irregular intervals
D. Data is collected over time
A. Outliers
B. Trends
C. Seasonality
D. Noise
A. Stationary
B. Seasonal
C. Trend
D. White noise
What is the primary goal of "detrending" in time series analysis?
A. To remove seasonality from the data
B. To remove outliers from the data
C. To identify trends in the data
D. To add noise to the data
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