Start learning 50% faster. Sign in now
Seasonal decomposition is especially useful for forecasting data with clear, recurring patterns, like sales of seasonal products. Winter clothing, for example, sees regular demand increases each year around the same season, making it ideal for seasonal decomposition. By separating the seasonal component, analysts can examine the underlying trend and make more accurate forecasts that account for the cyclical nature of the data. This is essential for inventory planning, marketing strategies, and meeting demand effectively during peak periods. Option A (Predicting stock prices) is incorrect because stock prices lack regular seasonal patterns due to volatility. Option C (Employee turnover) is incorrect as turnover doesn’t typically follow strict seasonal patterns. Option D (Customer satisfaction) is incorrect because daily satisfaction ratings may not exhibit significant seasonality. Option E (Rainfall totals) is incorrect since rainfall patterns are often irregular and better suited to long-term trend analysis than seasonal decomposition.
________ is a rectangular box that occurs at the intersection of a vertical column and a horizontal row in a worksheet.
In a computer, most processing takes place in?
In computers, RAM stands for:
Microsoft Excel can be used to create
What is Avast?
What Are The Functions Of A Switch?
IRDAI has relaxed norms for 'surety bonds', a type of insurance policy protecting parties involved in a transaction or contract from potential financi...
What term is used to describe software that monitors your online computer activities?
Which software, generally preferred most, out of the following options, to write a formal leave application with basic text and paragraph formatting (bo...
Who is known as father of Internet?