Stat Computing > Seminars > Regression with SAS

Statistical Computing Seminars
Regression Analysis with SAS

The aim of this seminar is to help you increase your skills in using regression analysis with SAS.  The seminar does not teach regression, per se, but focuses on how to perform regression analyses using SAS.  It is assumed that you have had at least a one quarter/semester course in regression (linear models) or a general statistical methods course that covers simple and multiple regression and have access to a regression textbook that explains the theoretical background of the materials covered in these chapters. These materials also assume you are familiar with using SAS, for example that you have taken the Introduction to SAS Class or have equivalent knowledge of SAS.  Below are materials used for teaching this seminar.

• The SAS program on which the seminar is based

• The data files for the seminar

  • acadindx.sas7bdat
  • crime.sas7bdat
  • elemapi.sas7bdat
  • elemapi2.sas7bdat
  • hsb2.sas7bdat
• The seminar is based on chapters 1, 2, 3 and 4 of the Regression with SAS Web Book.

UCLA Researchers are invited to our Statistical Consulting Services
We recommend others to our list of Other Resources for Statistical Computing Help
These pages are Copyrighted (c) by UCLA Academic Technology Services