Introduction
The goal of regression is to predict the value of one or more continuous target variables
Regression models can be used for time series modeling. Typically, a regression model provides a projection from the baseline status to some relevant demographic variables. Curve-type time series data are quite common examples of these kinds of variables. Typical time series model is the ARMA model. It’s a combination of two types of time series data processes, namely, autoregressive and moving average processes.
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