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How does using an autoregressive model for forecasting time series differ from using a multiple regression model?

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An autoregressive model takes into account autocorrelation in the data.


An autoregressive model takes heteroscedasticity into account.


Some data values are lost when using an autoregression model.


In an autoregressive model, the test for significance of a parameter is based on n-2-1 degrees of freedom.

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