JSM 2005 - Toronto

Abstract #304741

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); 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.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page
Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 491
Type: Contributed
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Graphics
Abstract - #304741
Title: Biplots for Visualizing Linear Models
Author(s): Heike Hofmann*+
Companies: Iowa State University
Address: 122 Snedecor, Ames, IA, 50014, United States
Keywords: Biplots ; Data Visualisation ; Univariate Linear Models ; Category Level Points ; Biplot Axis ; Visual Modelling
Abstract:

The link between statistical models and visualization techniques is not well explored, even though strong links do exist. This paper describes the relationship between biplots and univariate linear models. By slightly adjusting the way biplots are constructed, they provide the means to display linear models. The goodness-of-fit of a particular model becomes visible instantly. Biplots show predicted values and residuals. This helps to assess a model far beyond the mere statistics and to detect structural defects in it. Also, biplots provide a link between the modeling statistics and the original data. Additional interactive methods such as hotselection also allow the analysis of outlier effects and behavior.

  • 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 2005 program

JSM 2005 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2005