1. The ARIMA equation is a regression type equation in which the dependent variables are lags of the independent variable and/or lags of the forecast errors.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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1. The ARIMA equation is a regression type equation in which the dependent variables are lags of the independent variable and/or lags of the forecast errors. 

2. The I in ARIMA means Integration or the order of the difference used to make the series stationary. 

3. The two most useful tools in any attempt at model identification are the sample autocorrelation function and the sample partial autocorrelation function.

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