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Evaluate r: r = ,where I = 116,P = 1760,t =
Additive Model
A statistical model where the effects of different variables are summed together to predict the outcome.
Time Series Components
The underlying patterns and structures in time series data, such as trend, seasonality, and cyclical fluctuations.
Exponential Smoothing
A time series forecasting method for univariate data that weighs the significance of historical data points exponentially decreasing over time.
Forecasted Value
A prediction of future values based on historical data and analysis.
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