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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.
The rivers Ken and Betwa are tributaries of which larger river?
Match the following UNESCO Natural World Heritage Sites with their respective states:
______ is the state flower of Madhya Pradesh?
1. Allahbad bank has been recently brought under Prompt Corrective Action (PCA) framework by RBI. The headquarter of this bank is in:
...India and ______ has firmed up a mobility pact and vowed to expand ties in a range of areas such as trade, regional connectivity.
What is the capped benefit under the Interest Equalisation Scheme (IES) for MSME exporters for 2024-25?
निम्न में से किस स्थान पर राजस्थान की सबसे प्राचीन सभ्यता ...
‘Sitandi Wildlife Sanctuary’ is situated in which of the following state?
Which is the tallest waterfall in the world?
The State animal of Madhya Pradesh is?