Seasonality in time-series data is caused due toSelect one:a. Changes in macro-economic factors such as recession, unemployment, and so onb. Festivals and customs in a societyc. Random events that occur over a period of timed. Changes in customer behaviour driven by new products and promotions
Question
Seasonality in time-series data is caused due toSelect one:a. Changes in macro-economic factors such as recession, unemployment, and so onb. Festivals and customs in a societyc. Random events that occur over a period of timed. Changes in customer behaviour driven by new products and promotions
Solution
The seasonality in time-series data is primarily caused by:
b. Festivals and customs in a society
d. Changes in customer behaviour driven by new products and promotions
These two options refer to recurring events or patterns that happen at specific intervals over time, which is what seasonality is all about. For instance, retail sales may increase during the holiday season due to festivals and customs (option b), and a company might see a spike in sales after launching a new product or promotion (option d).
Option a, changes in macro-economic factors such as recession and unemployment, can indeed affect time-series data, but these events are not seasonal. They do not occur at regular, predictable intervals.
Option c, random events that occur over a period of time, by definition, do not have a seasonal pattern because they are random.
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