Data Smoothing: Polynomial Regression

Output Variables Tab

You can use the Output Variables tab to add analysis variables to the data table. (See Figure 20.8.) If you request a plot that uses one of the output variables, then that variable is automatically created even if you did not explicitly select the variable on the Output Variables tab.

The following list describes each output variable and indicates how it is named. $Y$ represents the name of the response variable.

Predicted values


adds predicted values. The variable is named PolyP_$Y$.

Confidence limits for means


adds 95% confidence limits for the expected value (mean). The variables are named PolyLclm_$Y$ and PolyUclm_$Y$.

Prediction limits for individuals


adds 95% confidence limits for an individual prediction. The variables are named PolyLcli_$Y$ and PolyUcli_$Y$.

Raw residuals


adds residuals, which are calculated as observed values minus predicted values. The variable is named PolyR_$Y$.

Figure 20.8: The Output Variables Tab

The Output Variables Tab