Use the Methods panel of the Predictor wizard to select a forecasting method.
To display Methods, click Next in Data Attributes or click Methods in the navigation pane of the Predictor wizard.
To select one or more forecasting methods:
Depending on the Data Attributes Seasonality setting and the nature of the data, select one or more of the following:
Non-seasonal Methods—Work best on data that do not show a pattern that repeats regularly over a certain number of time periods, but can show a trend of decreasing or increasing over time
Seasonal Methods—Work best on data that show a pattern that repeats regularly over a certain number of time periods and can also show a trend of decreasing or increasing over time
ARIMA—Useful in a variety of situations, particularly with many historical values and very few outlier values
Multiple Linear Regression—Useful when independent variables affect another variable of interest
Note:
Shortcut keys for selecting or clearing each method group are as follows: Ctrl+n, Non-seasonal Methods; Ctrl+s, Seasonal Methods; Ctrl+a, ARIMA; and Ctrl+m, Multiple Linear Regression.
Optional: Disable any individual method or override the default settings:
For Non-seasonal Methods and Seasonal Methods, see Using Classic Time-series Forecasting Methods for help with selecting only a few methods or using all of them (recommended). Notice that you can double-click any method to change its parameters and override the defaults.
For ARIMA (autoregressive integrated moving average) methods), see Using ARIMA Time-series Forecasting Methods.
For Multiple Linear Regression, see Using Multiple Linear Regression.
When settings are complete, click Next to review and change forecasting options.