option: a. true b. false c. others pls scpecify 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...

option:

a. true

b. false

c. others pls scpecify

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.