STAC67, Regression Analysis

Fall 2013

 

 

Instructor: Mahinda Samarakoon
Email: mahinda@utsc.utoronto.ca
Office: IC442

Webpage: www.utstat.utoronto.ca/~mahinda

Extra Office hours for the exam: I’ll be in office from 2-4pm on Mon Dec 16, 2-4pm Wed, Dec 18, 2:30-4:30pm, Thu, Dec 19

Lectures: Mon, 10:00-12:00, Wed, 12:00-13:00

 

 

 

 

 

Course outline

 

Registrar's office (Exam schedule)

Where are my lectures?

 

R Homepage

 

 

 

Announcements

 

Final exam schedule

 

 

Suggested questions

 

 

 

Some useful R codes and outputs

 

Data for Ex 1.28

R code for Ex 1.28 p37

R output for Ex 1.28

R output multiple regression (Example on p 236)

R output Partial F test, Type I, Type II, Type III SS,  Body fat example p 256

R Output for polynomial regression Ex 8.6 p336  Steroid data

Interaction models

Categorical Explanatory variables

Models with two qualitative variables

Models with quantitative and qualitative variables, Soap Example p330

Variable selection

Diagnostics

Lack of fit test example (not an R code)

 

 

 

 

ACCESSABILITY STATEMENT

 

Students with diverse learning styles and needs are welcome in this course. In particular, if you have a disability/health consideration that may require accommodations, please feel free to approach me and/or the AccessAbility Services Office as soon as possible. I will work with you and AccessAbility Services to ensure you can achieve your learning goals in this course. Enquiries are confidential. The UTSC AccessAbility Services staff (located in S302) are available by appointment to assess specific needs, provide referrals and arrange appropriate accommodations (416) 287-7560 or ability@utsc.utoronto.ca.

 

 

ACADEMIC INTEGRITY STATEMENT

 

Academic integrity is essential to the pursuit of learning and scholarship in a university, and to ensuring that a degree from the University of Toronto is a strong signal of each student's individual academic achievement. As a result, the University treats cases of cheating and plagiarism very seriously.  The University of Toronto's Code of Behaviour on Academic Matters (http://www.governingcouncil.utoronto.ca/policies/behaveac.htm) outlines the behaviours that constitute academic dishonesty and the processes for addressing academic offences.  Potential offences include, but are not limited to:

 

IN PAPERS AND ASSIGNMENTS:Using someone else's ideas or words without appropriate acknowledgement. Submitting your own work in more than one course without the permission of the instructor. Making up sources or facts.Obtaining or providing unauthorized assistance on any assignment.

 

ON TESTS AND EXAMS: Using or possessing unauthorized aids.Looking at someone else's answers during an exam or test. Misrepresenting your identity.

 

IN ACADEMIC WORK: Falsifying institutional documents or grades. Falsifying or altering any documentation required by the University, including (but not limited to) doctor's notes. All suspected cases of academic dishonesty will be investigated following procedures outlined in the Code of Behaviour on Academic Matters. If you have questions or concerns about what constitutes appropriate academic behaviour or appropriate research and citation methods, you are expected to seek out additional information on academic integrity from your instructor or from other institutional resources (see http://www.utoronto.ca/academicintegrity/resourcesfor students.html).