Abstract #301235

This is the preliminary program for the 2003 Joint Statistical Meetings in San Francisco, California. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 2-5, 2003); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

Back to main JSM 2003 Program page
JSM 2003 Abstract #301235
Activity Number: 339
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Graphics
Abstract - #301235
Title: Data Visualization and Exploration in Regression Modeling
Author(s): George Fernandez*+
Companies: University of Nevada
Address: Dept. of Applied Econ/Stats, Reno, NV, 89557-0901,
Keywords: SAS ; SAS macro ; data mining ; multicollinearity ; heteroscedasticity ; influential observation
Abstract:

A user-friendly SAS macro application to perform data exploration in regression utilizing the latest capabilities available in SAS® systems is presented here. This practical approach integrates graphical analysis tools available in SAS systems and provides instructions to generate exploratory graphs such as augmented partial residual, partial leverage, VIF and interaction plots quickly without writing SAS program statements or using menu interface by running the SAS macros in background. Educators can use this SAS macro to emphasize the impact of influential outliers, model specification errors, multicollinearity and variance heteroscedasticity in regression model building. The main feature of this approach is that analysts can perform complete data exploration quickly by using the downloadable SAS macro call files. Using this MACRO APPROACH, SAS users can effectively and quickly perform data exploration and spend more time in interpretation of graphs rather than debugging their program errors, etc. The features of the 'regdiag' in performing data exploration in regression modeling will be presented.

  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2003 program

JSM 2003 For information, contact meetings@amstat.org or phone (703) 684-1221. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2003