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The moving average time series method is ideal for analyzing and forecasting seasonal sales trends as it smooths out short-term fluctuations and highlights long-term trends. In e-commerce, where seasonal variations such as holiday sales significantly impact revenue, the moving average allows analysts to account for cyclical patterns, making it a strong tool for forecasting. By averaging data over specified intervals, it reduces noise and captures the overall sales trend, helping the company estimate future sales based on historical holiday trends. Moving average time series thus provides an accessible and reliable framework for sales trend analysis, directly aligned with the company’s forecasting needs. The other options are incorrect because: • Cross-sectional Analysis analyzes data at a single point in time, unsuitable for trend forecasting. • Linear Regression does not account for seasonality or time-based variations, limiting its application. • Hierarchical Clustering groups data rather than identifies patterns over time. • Random Forest can be used for predictions but is not designed for time-based trend analysis.
Which of the following statements about the International monetary fund (IMF) is/are correct?
1. Reduce poverty around the world is one of the ...
The abnormal loss on consignment is credited to
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Which of the following is an example of connectivity ?
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Which of the following will turn blue litmus red ?
The range of word length for a super computer is?
Who appoints the Insurance Ombudsmen?
Consider the following statements about first meeting of the Constituent Assembly:
1. The first meeting of the Constituent Assembly was held befo...
As per the Social Security Code, 2020 in which schedule we will find the list of occupational diseases?