Example: Predicting a Baseball Player’s Salary

To create this example:
  1. In the Tasks section, expand the Statistics folder, and then double-click Predictive Regression Models. The user interface for the Predictive Regression Models task opens.
  2. On the Data tab, select the SASHELP.BASEBALL data set.
    Tip
    If the data set is not available from the drop-down list, click Select a table icon. In the Choose a Table window, expand the library that contains the data set that you want to use. Select the data set for the example and click OK. The selected data set should now appear in the drop-down list.
  3. Assign columns to these roles and specify these options:
    Role
    Column Name
    Dependent variable
    logSalary
    Classification variables
    League
    Division
    Continuous variables
    nAtBat
    nHits
    nHome
    nRuns
    nRBI
    nBB
  4. On the Model tab, click Edit Icon. The Model Effects Builder opens.
  5. Select the nAtBat, nHits, nHome, nRuns, nRBI, nBB. League, and Division variables, and then click Add.
    Example of Model Effects in the Predictive Regression Model Task
  6. To run the task, click Submit SAS Code.
Subset of Results from Predictive Regression Models Task
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