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Basic Question 4 of 6
In time series analysis, seasonality refers to:
A. The presence of trends in the data.
B. Patterns that repeat at regular intervals.
C. Random fluctuations in the data.
D. Long-term cycles in the time series.
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I used your notes and passed ... highly recommended!
Lauren
Learning Outcome Statements
explain how to test and correct for seasonality in a time-series model and calculate and interpret a forecasted value using an AR model with a seasonal lag;
CFA® 2025 Level II Curriculum, Volume 1, Module 5.