Additive Model in Time Series Analysis 📊

Dive into the basics of the additive model in time series analysis with this quick guide. A fundamental assumption of the additive model is that all components (trend, seasonal, cyclical, and irregular) must be measured in the same unit of measurement. This ensures they can be summed together accurately to produce the value at any given time. Question: Which of the following statements is true about the additive model? Options: 1. All components must be measured in different units. 2. The additive model cannot be used if the series has a cyclical component. 3. All components must be measured in the same unit of measurement. 4. The additive model assumes that the seasonal component is the most significant. Correct Answer: All components must be measured in the same unit of measurement. This video is perfect for 12th-grade students studying Mathematics and Statistics, especially those focusing on Time Series Analysis. Chapter: Time series, Page: 57. Subject: Mathematics & Statistics.

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