Define seasonal analysis with an example
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Seasonality is a characteristic of a time series in which the data experiences regular and predictable changes that recur every calendar year. Any predictable change or pattern in a time series that recurs or repeats over a one-year period can be said to beseasonal.
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Define seasonal analysis with an example..?
Seasonal Analysis:
Seasonality is a characteristic of a time series in which the data experiences regular and predictable changes that recur every calendar year. Any predictable fluctuation or pattern that recurs or repeats over a one-year period is said to be seasonal.
Seasonal effects are different from cyclical effects, as seasonal cycles are observed within one calendar year, while cyclical effects, such as boosted sales due to low unemployment rates, can span time periods shorter or longer than one calendar year.
Examples of Seasonality:
There are many different instances where seasonality can be observed as it relates to the regular transition throughout times of the year.
A company that sells sunscreen and tanning products within the United States sees sales jump up in the summer as demand for their products increases. On the other hand, the company will likely see a significant drop in the winter.