Basics (linear-AS models)

Include intercept. This option includes an offset on the y axis when the x axis is 0. The intercept is usually included in the model. If you can assume the data pass through the origin, you can exclude the intercept.

Consider two way interaction. This option tells the model to compare each possible pair of inputs to see if the trend of one affects the other. If it does, then those inputs are more likely to be included in the design matrix.

Confidence interval for coefficient estimates (%). This is the interval of confidence used to compute estimates of the model coefficients in the Coefficients view. Specify a value greater than 0 and less than 100. The default is 95.

Sorting order for categorical predictors. These controls determine the order of the categories for the factors (categorical inputs) for purposes of determining the "last" category. The sort order setting is ignored if the input is not categorical or if a custom reference category is specified.