The Linear Regression menu allows a variety of linear regression models to be fitted, selected from those listed
in the Regression box.
Regression
Selects the type of regression model to be analysed. See the help specific
to each model for a description of its features and the information to be
entered. These menus provide for simple and multiple linear
regression, with or without groups, polynomial regression, smoothing splines and
locally weighted regression. In addition, the general linear regression
option allows you to construct your own linear model, using linear, polynomial
or smoothed effects of variates, main effects of factors, and interactions.
Options
This controls display options, allowing you to select the output to be
generated initially by the regression - the same information can also be
printed after the analysis, using Further Output. It also controls whether a
constant term (or intercept) is included in the model.
Further Output
Allows you to display additional results and graphical output from the analysis.
Save
Allows you to specify data structures in which to save fitted values, residuals, parameter estimates,
and standard errors, variances and covariances of estimates from the analysis.
Predict
Allows you form predictions based on the current regression model.
Change Model
This changes the current model by adding or dropping explanatory terms, thus
allowing a sequence of models to be fitted and assessed. The option is only available
for the General Linear Regression model.
Available Data
This lists data structures appropriate to the current input field. The contents of this box will change as you
move from one field to the next. You can double-click a name in the list box to copy it to the current input field.
See Also