STA 302/1001 Summer 2001: Regression Analysis

University of Toronto, Summer 2001

MW 6:10-9:00 p.m. in Room SS2110

This page was last updated Thu Jul 5 2001 .

News

Marks are posted - see below

• Marks. These are unofficial, technically subject to revision by the STA department chair and possibly other people. It never happens, though.
• Course Outline
• Quiz Marks
• Quizzes and solutions
• Email questions and answers: Last updated Tue Jun 26 2001
• Connecting to cquest from home: Suggestions from class members
• Assignments
  1. SAS Part of final exam
  2. Assignment 1: Quiz on May 23d at the beginning of class
     • PDF
     • Postscript
  3. Assignment 2: Quiz on May 30th at the beginning of class
     • PDF
     • Postscript
  4. Assignment 3: Quiz on June 6th at the beginning of class
     • PDF
     • Postscript
  5. Assignment 4: Quiz on June 13th at the beginning of class
     • PDF
     • Postscript
     • smsa.dat
  6. Assignment 5: Quiz on June 20th at the beginning of class
     • PDF
     • Postscript
     • Brand Preference Data from Problem 6.5
• SAS Handouts
  1. Running SAS from the unix command line.
  2. Introduction: Descriptive Statistics with SAS. Please print the command file and optionally the list file, and bring to class so you can write notes on it during lecture.
     • intro.sas: Command file (program)
     • intro.log: Log file
     • intro.lst: List file
     • oldclass.dat: Raw Data file
  3. Simple Regression One: Please print both reg1.sas and the list file, and bring them to class.
     • reg1.sas: Command file (program)
     • reg1.log: Log file
     • reg1.lst: List file
     • oldclass.sas: Reads and labels data
  4. Regression with two predictor variables: Example from Section 6.9 of the textbook. Bring command file and list file to class.
     • ch6a.sas: Command file (program)
     • ch6a.log: Log file
     • ch6a.lst: List file
     • dwaine.dat: Raw Data file
  5. Another way to do the last item, using proc glm. The payoff is that the estimate command lets us get s{Y-hat-h} without having to do matrix multiplication by hand. Again, please bring the command file and the list file to class.
     • ch6b.sas: Command file (program)
     • ch6b.log: Log file
     • ch6b.lst: List file
  6. Polynomial Regression
     • curvy.sas: Command file (program)
     • curvy.lst: List file
  7. Simpson's paradox with interaction
     • simpson.sas: Command file (program)
     • simpson.lst: List file
  8. Polynomials, interactions and general linear test
     • cars.sas: Command file (program)
     • cars.lst: List file
  9. Regression Diagnostics (Warning: This is long. Hard copy was handed out in class)
     • Overheads: Larger print than in-class handout.
     • cars2.sas: Command file (program)
     • cars2.log: Log file
     • cars2.lst: List file
  10. Variable Selection
      • Overheads
      • smsa2.sas: Command file (program)
      • smsa2.log: Log file
      • smsa2.lst: List file
• All the unix you need for this class
• Other Handouts and displays
  • Old quizzes, tests and exams
  • Scatterplot overheads
  • Chapter Two Formula Sheet
    • PDF
    • Postscript
  • Multivariate Normal Handout
    • PDF
    • Postscript
• Quizzes and Solutions
  1. Quiz 1
     • PDF version of Quiz 1
     • Postscript version of Quiz1
     • Answer key in pdf format
  2. Quiz 2 with answers
  3. Quiz 3 with answers
  4. Quiz 4 with answers
  5. Quiz 5 with answers
• Link to Dept of Statistics home page.

If you are connecting from a computer not located on campus, you may need to download Adobe Acrobat Reader (free software) in order to see mathematical text, including quiz solutions and some assignments. You can get it from either of these locations; one may be busy.