STA302f16: Regression Analysis

University of Toronto Mississauga, Fall 2016

http://www.utstat.toronto.edu/~brunner/302f16

Lecture: Tuesday 12:10-2:00 in CC 3150 and Thursday 12:10-1:00 in CC 2150

Note: I do not read my email every day, and the problem tends to get worse as the term progresses. It is much more efficient to talk with me before or after class, or during office hours.

Tutorial: Thursday 6:10-7:00 p.m. in IB 245

Textbooks

The secondary texts are available in pdf format free of charge through the U of T library.

Topics: Linear algebra supplement, Random vectors, Multivariate normal via moment-generating functions, General linear model, Least squares, Gauss-Markov Theorem, F and t distributions arising from normal error terms, Hypothesis testing, Interval estimation, Prediction intervals, Residual analysis. Additional topics such as Weighted least squares, Polynomial regression, Response surface methodology, Automatic variable selection, Unconditional regression, Robustness. We will use R to do computations.

Prerequisites: STA258H (Statistics with Applied Probability) and MAT223H/240H (Linear Algebra). Note that students without prerequisites may be removed from the course at any time.

Grading
      Regular Quizzes in Tutorial 50%
      Pop Quizzes in Lecture    10%
      Final Exam 40%
Regular quiz dates are Sept. 15, 22, 29, October 6, 20, 27, November 3, 10, 17, 24, December 1.

In spite of the mark weighting scheme above, a good performance on the final exam can save a student from failing the course. Suppose your final average including the final exam is less than 50%. If your mark on the final exam is at least 70%, or your mark on the final is at or above the class median, then you get a mark of 50% for the course. This rule is intended to give hope to students who have messed up on the quizzes, and encourage them to study for the final exam.

There will be an assignment for each quiz. The knowledge you need to do each quiz is a subset of the knowledge you need to do the corresponding assignment. Many of the assignments will include a computer part. You will bring printouts to the quiz and answer questions based on the printouts. Possibly, one of the quiz questions will be to hand in a printout. The non-computer parts of the assignments are just to prepare you for the quizzes; they will never be handed in.

Policy for missed work: If you miss a quiz, the mark is zero. However, your lowest regular quiz mark and your lowest pop quiz mark will be dropped. If you miss a quiz with a valid excuse, your mark on the final exam (out of 10) will be substituted for the missing quiz mark, and the lowest of the resulting quiz marks will still be dropped.

What is a valid excuse? If you miss a quiz for medical reasons, you must submit a University of Toronto Medical Certificate (not just a note), available at

http://www.illnessverification.utoronto.ca

The certificate must include the statement that you were unable to write the quiz for medical reasons. If the certificate does not clearly indicate that you were unable to function, the excuse will not be accepted. Documentation must show that the physician was consulted on the day of the quiz, or on the next day. A statement merely confirming a report of illness made by the student is not acceptable.

As another example of an excuse that is not acceptable, automotive breakdown or other transportation problems are never valid excuses. If you miss a quiz because you are taking another class at the same time as this one, that is not a valid excuse. The printer jammed, my dog ate it, etc. fall into the same category. If the University is officially open, weather is a valid excuse only if more than 50% of the class miss the quiz.

Accessibility Needs: We are committed to accessibility. If you require accommodations for a disability, or have any accessibility concerns about the course, the classroom or course materials, please contact Jerry or Accessibility Services (visit http://www.utm.utoronto.ca/accessability or email accessconfirm.utm@utoronto.ca) as soon as possible.

Academic Honesty: It is an academic offence to present someone else's work as your own, or to allow your work to be copied for this purpose. To repeat: the person who allows her/his work to be copied is equally guilty, and subject to disciplinary action by the university. This also applies to students who are not enrolled in the class.

If you use a private tutor, you must send me (Jerry) an email with the tutor's contact information. This applies whether the tutor is paid or not. I will send the tutor an email clarifying the ground rules. The tutor must reply to my email. If the tutor is a student, the tutor must give his or her full name and student number. If the tutor is not a student, it is trespassing for the tutor to come to campus for commercial purposes. The disclosure rule applies even if it's just once and it comes up informally. In that case you notify me after the fact. The disclosure rule applies to both computer and non-computer homework.

The main thing I will say to the tutor is that he or she is not allowed to show you solutions to the computer homework. For the non-computer parts, the tutor is encouraged to focus on ideas and methods of problem solving rather than just providing solutions to the homework, but it's not a firm rule.

For the computer parts of the homework, the main rule is don't copy, and don't let anyone else copy from you.

For more detail, the latest version of the student handout "How not to Plagiarize" is available at http://www.writing.utoronto.ca/advice/using-sources/how-not-to-plagiarize The Academic Regulations of the University are outlined in the Code of Behaviour on Academic matters, which can be found in the Arts and Science Calendar or on the web at http://www.governingcouncil.utoronto.ca/policies/behaveac.htm.