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In time series decomposition, seasonality is often removed to observe the underlying trend, as it allows analysts to analyze the data without the cyclical variations. By isolating seasonality, we can better understand the long-term trend, which reflects the general direction of the data over time. Decomposition methods, like seasonal adjustment, are crucial when the goal is to highlight the trend in time series data for clearer forecasting. Option A (Noise) is incorrect because noise is random and doesn’t follow a regular pattern; it’s often filtered out rather than decomposed. Option C (Irregular Component) is incorrect as irregular components are random and not part of systematic decomposition. Option D (Trend) is incorrect because the trend is typically retained when seasonality is removed. Option E (Stationarity) is incorrect because stationarity is a characteristic of the series rather than a decomposable component.
Select the combination of letters that when sequentially placed in the blanks of the given letter series will complete the series.
P _ S U _ P Q ...
Four of the following five are alike in a certain way based on their positions in the above arrangement and so form a group Which is the one that does ...
How many such letters are there which are not immediately followed by a symbol between ‘@’ and ‘I’ in the given arrangement?
How many such pairs of letters are there in the word ‘ BANGLE ’ each of which has as many letters between them in the word (in both forward and back...
What is the sum of all the numbers, which are either immediately preceded or immediately succeeded by a vowel in the given arrangement?
In the given series, how many symbols are immediately preceded by a vowel and immediately succeeded by an alphabet?
How many vowels are between A and @?