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Doing More with SAS/ASSIST Software |

In this section, you perform a linear regression showing the relationship between the oxygen consumption rate of subjects while they run and the time it took for the subjects in the FITNESS table to run 1.5 miles. You use the 95% individual confidence interval option to display the 95% upper- and lower-confidence limits for an individual value.

To superimpose a regression line on a plot, refer to Doing More with Plots.

Additional Information |

For additional information on performing linear regressions,
refer to "The REG Procedure" chapter in the
**SAS/STAT User's Guide**.

You can perform other types of regressions, in addition
to the linear regression, with SAS/ASSIST software. For more information on
logistic regression, which requires SAS/STAT software, refer to "The
LOGISTIC Procedure" in
**SAS/STAT User's Guide**. For information on regression with
correction for autocorrelation, which requires SAS/ETS software, refer to "The
AUTOREG Procedure" in
**SAS/ETS User's Guide**.

Instructions |

- To display the Regression Analysis window, follow this
selection path:
Tasks Data Analysis Regression Linear *Regression Analysis Window*

- Use the
**Table**button to then select the SASUSER.FITNESS table. - Use the
**Dependent**button to select OXYGEN as the dependent column.The dependent columns contain the observed values that the regression equation attempts to predict. The Select Table Variables window displays all the numeric columns in the FITNESS table except for any columns selected as BY or independent columns. A separate regression analysis is generated for each dependent column that you select.

- Use the
**Independent**button to select RUNTIME as the independent column.The independent columns contain the values used to predict the dependent columns. The Select Columns window displays all the numeric columns in the FITNESS table except for any columns selected as BY or dependent columns.

- Select
**Additional options**, then**Displayed statistics**. The Displayed Statistics window appears.*Displayed Statistics Window*

- Select
**Print 95% individual confidence interval**, then select**OK**to return to the Additional Options window.You use the 95% individual confidence interval to display the 95% upper- and lower-confidence limits for an individual value to reflect not only the variability in the predicted mean value, but also the variability in a single future observation.

- Select
**Regression plots**. The Regression Plots window appears.*Regression Plots Window*

- Select
**Plots of dependent by independent columns**.By choosing to generate a plot for each dependent column with each independent column, you can detect a nonlinear relationship between columns in the regression model.

- Select
**OK**and then**Goback**to return to the Regression Analysis window. - Follow this selection path:
Run Submit *Regression Analysis Output*

- Use the scroll bars or the FORWARD command
or
function key to display the page of the analysis that shows the 95% individual
confidence interval in the
**95% CL Predict**columns.*Regression Analysis Output (continued)*

Individual confidence intervals are referred to as prediction intervals, hence the word

**Predict**in the output. - Access the GRAPH window
to see the plot of the dependent by independent column.
*Regression Plot Output*

- Return
to SAS/ASSIST software from the
Output window. See Returning to SAS/ASSIST Windows from the Output Window
for more information.

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