- #1
Physics197
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I can't find a defination/explanation anyone on the web.
Y_trend refers to the trend component in a time series model that represents the long-term fluctuations or patterns in the data. It is also known as the systematic or deterministic component.
The purpose of y_trend is to identify and analyze the long-term patterns or behavior in a time series data. It helps in understanding the underlying trend and making predictions for future values.
There are various methods to calculate y_trend, depending on the type of time series data and the specific model being used. Some common methods include moving averages, linear regression, and exponential smoothing.
While y_trend captures the long-term patterns or trends in a time series, y_seasonal represents the seasonal or cyclical component in the data. Y_seasonal is usually shorter in duration and repeats itself, while y_trend is longer in duration and does not repeat.
Identifying and removing y_trend is important for accurately forecasting future values in a time series. It also helps in detecting any underlying patterns or changes in the data that may affect the analysis and decision-making process.