Start learning 50% faster. Sign in now
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.
ताला शब्द कौन-सा लिंग है ?
'सौ गुना लम्बा' में विशेषण का कौन सा भेद है?
निम्नलिखित में कौन सा सा वाक्य शुद्ध है
‘पुरस्कार’ का विलोम क्या होगा :
'नारियल' शब्द का तत्सम रूप है
नदी ( 1) बहती ( 2) है ( 3) धीरे ( 4) । प्रस्तुत खंडित वाक्य में वा...
निम्नलिखित शब्दों में कौन-सा शब्द ‘तत्सम’ है ?
कौन-सा वाक्य युक्त है?
शुद्ध वाक्य का चयन कीजिये -
निम्नलिखित शब्दों में से कौनसा शुद्ध शब्द है ?