Notice
You are now leaving support.minitab.com.
Click Continue to proceed to:
Use a Box-Cox transformation of a time series to try to make the variance of the series stationary. Stationary variance is a requirement for an ARIMA model. Use a time series plot to determine if the variance of a time series is stationary. If the time series has a pattern in the spread of the points, then the variance is not stationary.
To perform a Box-Cox transformation on a time series, choose .
An ARIMA analysis requires that the variance and the mean of the time series are both stationary. If a time series plot of the transformed series shows that the transformed series does not have a stationary mean, try Augmented Dickey-Fuller Test to see whether differencing the data makes the mean of the series stationary.
You are now leaving support.minitab.com.
Click Continue to proceed to: