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Time series decomposition involves breaking down a time series into three main components: 1. Trend: The long-term direction or movement in the data (e.g., increasing or decreasing). 2. Seasonality: The repeating fluctuations at regular intervals due to seasonal factors (e.g., monthly, quarterly). 3. Residuals (or irregular components): The random, unexplained fluctuations that remain after removing the trend and seasonality. These are the "noise" or errors in the data. This decomposition is critical because it allows for better understanding and forecasting by isolating predictable patterns from random variations. Option A is incorrect because correlation is not a component of time series decomposition. Option B is incorrect as the cyclical component is different from seasonality and is often linked to economic cycles, not necessarily regular time intervals. Option C is incorrect because "cyclic behavior" and "random noise" are not formal components in standard time series decomposition. Option E is incorrect because outliers and forecast errors are not part of the standard decomposition process.
Fill in the blank with the most appropriate word.
Mount Merapi is a volcano on the popular tourist Island .it ……in june 2020.
Which conjunction can be used for this sentence?
He had a lot of problems in his family, __________ he managed to get the first place in the...
In light of the recent economic downturn, it is essential for the institution to _____ its strategies and _____ its operations to remain competitive.
Fill in the blanks using the correct tense of the verbs given in brackets.
Only the wearer knows where the shoe _______(pinch)
Stretching helps prevent lower back pain __________ tightness in the lower body.
The temple is several thousand years old and stands on a sea rock ___________ the Indian Ocean.
I __________ for a new adventure in the United States on the first day of the new year.