STA302f13: Regression Analysis

University of Toronto Mississauga, Fall 2013

http://www.utstat.toronto.edu/~brunner/302f13

Lecture: Monday 11:10 - 1:00 and Wednesday 11:10-12:00 in IB 235

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: Friday 10:10-11:00 in Davis 1104 and 12:10-1:00 in IB 245. You may not switch tutorials. If you take a quiz in the wrong tutorial, the mark is zero.

Textbook: Linear models in statistics (2008) by A. C. Renscher and B. G. Schaalje. It is available in pdf format for free 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 and SAS.

Prerequisite: STA258H (Statistics with Applied Probability) and MAT223H (Linear Algebra I)

Grading: 70% of the mark will be based on equally weighted weekly quizzes, and 30% will be based on the final exam. Eleven quizzes will be given in tutorial, starting Friday Sept. 20th. Quiz dates are Sept 20, 27, Oct. 4, 11, 18, 25, Nov. 1, 8, 15, 22, 29. The lowest quiz mark will be dropped.

In spite of the 70-30 weighting, a good performance on the final exam can save a student from failing the course. Suppose your final average is less than 50%. If your mark on the final exam is at least 70%, or your mark on the final is at the class median or above, then you get a mark of 50% for the course. This rule is intended to give hope to those 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 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.

It is fine to discuss the assignments and to learn from each other, but there are clear limits on what is acceptable. It is okay to discuss the meaning of the question. It is okay to discuss general principles related to the question. It is okay, and encouraged, to discuss examples from lecture or textbook that are similar to the question. It is okay to reveal your approach to solving a problem (not the details), but only to somebody who has tried the problem and is really stuck. Even then, it is better to ask questions (like "Well, what's the null hypothesis?" Or "The problem is asking whether this estimator is unbiased. So, what's an unbiased estimator?") instead of just giving your answer. A good rule is to never help someone who hasn't started yet.

But above all, don't copy, and don't let anyone else copy from you. You are expected to do the work yourself, and then perhaps compare answers after you have done so.

You might be surprised to know how easy it is to detect copying on computer assignments. Here are some guidelines:

It is acceptable to get help with your assignments from someone outside the class, but the help must be limited to general discussion and examples that are not the same as the assignment. As soon as you get an outside person to actually start working on one of your assignments, you have committed an academic offence. (Unless the person refuses to tell you the answer and just laughs at you because it was so easy.)

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.