STATISTICS 3A03

Applied Regression Analysis with SAS

Fall Term 2017

Instructor :	Angelo J. Canty
Office :	HH 209
Phone:	(905) 525-9140 x 27079
Email:	cantya@mcmaster.ca



Required Textbook :	Regression Analysis By Example (Fifth Edition)
	by Samprit Chatterjee & Ali S. Hadi. Wiley (2012)
Optional (Recommended) Text :	Applied Linear Regression (Fourth Edition)
	by Sanford Weisberg. Wiley (2014)


Lectures:	Monday 9:30 - 10:20 in BSB B135
	Tuesday 10:30 - 11:20 in BSB B135
	Thursday 9:30 - 10:20 in BSB B135


SAS Labs:	L1: Frday 11:30 - 12:20 in BSB 249
	L2: Tuesday 11:30 - 12:20 in BSB 244
	L3: Tuesday 8:30 - 9:20 in BSB 249

Office Hours :	Monday 10:30 - 11:30
	Tuesday 11:30 - 12:30
	Thursday 10:30 - 11:30
	or at other times by e-mail appointment

Course Outline

Note: In order to read the course outline and many other documents on this page you need the Adobe Acrobat Reader. If you do not have this installed on your computer then it can be downloaded by clicking on the button below.

Student Absences

In the event of an absence for medical or other reasons, students should review and follow the procedure described at https://www.mcmaster.ca/msaf/. If you have any questions about the McMaster Student Absence Form or the above regulation, please contact your Associate Dean's office.
Note that this is the only way that relief can be granted for missed course work. See the course outline for an explanation of how the marking scheme will change for students who miss one component of the course.

ACADEMIC MISCONDUCT

Sadly there have been a number of cases of blatant plagiarism in this course, particularly on Assignment 3. Using solutions found on the internet or anywhere else to complete your assignments is academic misconduct and can have disastrous consequences on your future if you are caught, as a number of students were. The sanctions for this type of action can range from a 0 for the assignment, an F for the course with an academic misconduct notation on your permanent official transcript or even up to expulsion from the university with and academic misconduct notation. If you have such a notation on your transcript you are very unlikely to be able to go to graduate school and will find it difficult to get jobs as it marks you out as untrustworthy. This type of conduct is stupid and not worth the risk. I have a lot of experience with student plagiarism and can easily spot it. Consider this a final warning. The use of ANY external solutions is plagiarism and should it occur again, I will immediately report offenders to the Office for Academic Integrity for official investigation and sanction.

Here are some sources which you may use in your assignment solutions:

Anything posted on the website for the course in this academic term including lecture notes, SAS code from the labs and examples, solutions to earlier assignments or tests from this term.
Either of the course textbooks with appropriate acknowledgement wherever any results are used directly.

External sources which are NOT allowed and constitute academic misconduct include:

Solution sets posted for assignments in previous years or found anywhere on the internet or social media.
Solutions to textbook questions from any source.
Somebody else's solution whether a fellow classmate or anyone else.

Once you put your name on an assignment, you are certifying it as your own work. If it contains work that is not yours and not properly identified as somebody else's work then you are committing plagiarism and academic misconduct and will be dealt with according to the McMaster Policy on Academic Integrity.

Notices

Important announcements and notices regarding the website and the course will be posted here.

December 14, 2017 Unfortunately something urgent has come up tomorrow morning (Friday December 15) so my office hours will be starting later than planned. I expect to be in my office by 11am tomorrow.

December 13, 2017 There were two errors in the solution for Question 1(d) of Assignment 5. I have corrected them and reposted the solution set. Sorry for any inconvenience.

December 12, 2017 The following formula sheet will be included as part of your final exam. Tables A.2 and A.4 from your textbook will also be supplied.

December 10, 2017 Your final assignments have been marked and are available for pickup from my office hours (as well as any previous uncollected assignments and tests). See below for my office hours this week.

December 7, 2017 I have posted the solutions to Assignment 5.

December 5, 2017 - Extra office hours. I will hold office hours at the following days and times between now and your exam. The final assignment will be ready for pick-up at any of the office hours next week. I also have all of your other work that was not picked up. Please come and get it! I am also available by email between now and Friday December 15. If I need to alter these times due to unforeseen circumstances I will do my best to post the changes on this website at least one day prior to any change.

Date	Time
Monday December 11	9:30-2:00
Tuesday December 12	9:30-2:00
Thursday December 14	9:30-2:00
Friday December 15	9:30-2:00

December 3, 2017 I have posted the solutions for SAS Lab 11 and also a 12th set of SAS lab notes. There is not an actual lab this week but these notes are provided for you so you can learn how to do variable selection in SAS. I have also posted solutions to the two exercises in these notes.

December 3, 2017 I have posted the second test and solutions.

November 27, 2017 I have posted the eighth and final set of lecture notes which we shall start in Thursday's class.

November 27, 2017 I have posted the notes for your eleventh and final SAS lab as well as the solutions to the exercises for the tenth lab.

November 27, 2017 I have updated the data page with the datasets needed for Assignment 5. I apologise for the delay in posting this update. I had done it locally and must have forgotten to propogate the change to the public website. It should all be good now but let me know immediately if you come across any remaining issues.

November 27, 2017 I have posted some important information regarding tomorrow's test including the list of formulae and tables that you will be given in the test. Please read this information prior to the test!

November 22, 2017 I have posted the fifth and final assignment. Note that the due date has been changed to Monday December 4 at 5pm.

November 22, 2017 I have posted the solutions for the fourth assignment.

November 20, 2017 I have posted the seventh set of lecture notes.

November 20, 2017 I have posted the SAS code for the exercise in SAS Lab 9 as well as the example done in class today. I have also posted the notes for SAS Lab 10 and the datasets for today's examples and the SAS lab.

November 16, 2017 I found some typos in the sixth set of lecture notes so I have reposted the corrected notes.

November 13, 2017 I have posted the solution for the exercise in last week's SAS lab as well as this week's notes.

November 13, 2017 I have posted the sixth set of lecture notes.

November 13, 2017 I have posted the SAS code for today's example (to be finished tomorrow).

November 9, 2017 I have posted the solutions for the third assignment.

November 9, 2017 I have posted the code for the examples I did in class this week.

November 7, 2017 I have posted the note for this week's SAS Lab.

November 6, 2017 I have posted the fourth assignment which is due on Thursday, November 16.

November 2, 2017 I have posted the SAS code for the example done in class on October 31. Sorry for the delay.

November 2, 2017 I have posted the fifth set of lecture notes.

October 31, 2017 Clarification for Q1(d) of Assignment 3 You do not need to delete all points in the dataset, just those identified as problematic in 1(c). I have made that clearer in the question and reposted. Sorry for any confusion.

October 31, 2017 I have posted the test paper for the first test (without the tables) and the solution set below.

October 30, 2017 I have posted notes for this week's SAS lab in which you will learn about the influence measures we are doing in class.

October 26, 2017 I have posted SAS code for the exercises in the fifth SAS lab and also the examples I did in class today.

October 24, 2017 I have posted your third assignment. Sorry it is posted a day late. To compensate I have delayed the due date by 24 hours. The assignment is now due at 5pm on Friday, November 3, 2017.

October 24, 2017 There are no new notes for this week's SAS lab. The TAs will cover the material from last week again and will answer any of your questions about the SAS you have learned so far. There will be new notes next week when we cover new things in the classes.

October 20, 2017 I have posted some important information for the first test below including the list of formulae and tables that you will be given in the test. Please read this information prior to the test!

October 20, 2017 I have posted a draft solution set for the second assignment. Although I have checked this set and tried to ensure its accuracy it has not yet been checked by the TAs so may still contain some errors. If you spot what you think is a typo or error please email me as soon as possible so that I can correct it for you and your classmates.

October 16, 2017 There was a typo in Question 1(a) of our current assignment. The + sign in the equation should have been a - sign. I apologise for this and have posted the corrected version of the assignment now.

October 16, 2017 I have posted the fourth set of lecture notes.

October 16, 2017 I have posted the notes for this week's SAS labs and the solutions for Lab 4.

October 7, 2017 I have posted your second assignment which is due on October 19.

October 7, 2017 I have posted the solution set, marking scheme and SAS code for the first assignment. Please consult this in the first instance if you do not understand why you lost marks as this is exactly what the TAs used to mark your assignment. If you are still unsure of why you lost marks or think there was an error then bring your assignment to me during my office hours. Please note that assignments done in pencil cannot be remarked but you can still request an explanation if you do not understand why you lost marks.

October 7, 2017 I have posted the SAS code for the examples done in class this past week.

October 2, 2017 I have posted the notes for this week's SAS lab which is a review of all we have covered so far. Please ask your TA if you are having difficulties with any aspect of SAS done to date. I have also posted the code for the exercises in the third SAS lab.

September 28, 2017 I have posted code for the multiple linear regression examples done in class this week and also a link to the American Statistician paper by David Hamilton from 1987.

September 25, 2017 I have posted the code used in class today.

September 24, 2017 I have posted notes for this week's third SAS labs. I have also posted the code for last week's SAS lab exercises.

September 24, 2017 I have posted the third set of lecture notes.

September 18, 2017 I have made a slight change to the notes for the second SAS lab. If you downloaded them prior to 12pm today (Sept 18) please do so again to get the most recent version.

September 18, 2017 I have posted your first assignment. It is due by 5pm on Thursday, September 28. Assignments must be submitted in the appropriate locker for your lab. The lockers can be found outside HH-105.

September 18, 2017 I have posted notes for this week's second SAS labs. I have also posted the code for last week's SAS lab exercises.

September 11, 2017 I have posted your second set of lecture notes which we shall start in class tomorrow.

September 11, 2017 SAS labs will start this week. The labs are full so you must go to the lab to which you have been assigned. There is a strict limit on the capacity of each lab. I have posted some notes that the TA will go through in the labs. The notes include some questions. These are not to be submitted but are suggested for you to practice as this is the best way to learn SAS (or any other computer language).

September 4, 2017 I have now posted the first set of lecture notes.

September 3, 2017 Welcome to Statistics 3A03: Applied Regression Analysis with SAS. Please see the course outline above for full details of this course. The first class will take place on Tuesday September 5, 2017. Labs will start on Tuesday, September 12. Please visit this page regularly to check for any important notices. All lecture notes, Lab materials and assignments will be made available on this page only.

Lecture Notes

Copies of my lecture notes will be posted here. Each set of lecture notes will usually correspond to one of the chapters in your textbook. I will do my best to post lecture notes in advance of starting that chapter in class.

Lectures Notes 1 posted Sept. 4, 2017
Lectures Notes 2 posted Sept. 11, 2017
Lectures Notes 3 posted Sept. 24, 2017
Lectures Notes 4 posted Oct. 16, 2017
Lectures Notes 5 posted Nov. 2, 2017
Lectures Notes 6 posted Nov. 13, 2017 (Corrected notes reposted on Nov. 16, 2017)
Lectures Notes 7 posted Nov. 20, 2017
Lectures Notes 8 posted Nov. 27, 2017

Data Sets

All datasets used in the SAS Labs, my lecture notes or assignments can be downloaded from the directory
http://www.math.mcmaster.ca/canty/teaching/stat3a03/Data

SAS Code for Examples

I will post the SAS code for examples done in class here.

Prediction in simple linear model example done in class on September 25.
2 covariate example done in class on September 26.
Example taken from the paper by David Hamilton in The American Statistician (1987) and done in class on September 26.
2 covariate example done in class on September 28 showing that the F-test can be highly significant and both individual t-tests be not significant.
Multiple regression examples done in class on October 3
Example of testing a subset of coefficients equal 0 done in class on October 5
Diagnostic plots examples done in class on October 26.
Further diagnostic plots examples done in class on October 31.
Examples of inclding categorical variables in regression done in class on November 7 and 9.
Examples of including interaction terms of categorical variables done in class on November 13 and 14.
Examples of transformations of variables in regression done in class on November 20.

SAS Labs

Topics to be covered in the SAS labs and some questions to be worked on in the labs will be posted here.

SAS Lab 1 September 12-15, 2017.
- Solutions to the exercises.
SAS Lab 2 September 19-22, 2017.
- Solutions to the exercise.
SAS Lab 3 September 26-29, 2017.
- Solutions to the exercises.
SAS Lab 4 October 3-6, 2017.
- Solutions to the exercises.
SAS Lab 5 October 17-20, 2017.
- Solutions to the exercises.
SAS Lab 6 October 24-27, 2017. No new notes, continue with last week's notes and revision.
SAS Lab 7 October 31-November 3, 2017.
- Solutions to the exercises.
SAS Lab 8 November 7-10, 2017.
- Solutions to the exercise.
SAS Lab 9 November 14-17, 2017.
- Solutions to the exercise.
SAS Lab 10 November 21-24, 2017.
- Solutions to the exercise.
SAS Lab 11 November 28-December 1, 2017.
- Solutions to the exercise.
Supplementary SAS Lab for you to do on your own.
- Solutions to the exercises.

Assignments

Assignments will be posted here at least 10 days before they are due and their solutions will be posted approximately one week after the due date. Assignments are due at 5:00pm on their due date, late assignments will not be accepted except in extreme circumstances. Assignments must be submitted in the appropriate lockbox in the basement of Hamilton Hall

Assignment 1. Due at 5:00pm on Thursday, September 28, 2017.
- Solutions to the first assignment.
- SAS code used in the solutions.
Assignment 2. Due at 5:00pm on Thursday, October 19, 2017.
- Solutions to the second assignment.
- SAS code used in the solutions.
Assignment 3. Due at 5:00pm on Friday, November 3, 2017.
- Solutions to the third assignment.
- SAS code used in the solutions.
Assignment 4. Due at 5:00pm on Thursday, November 16, 2017.
- Solutions to the fourth assignment.
- SAS code used in the solutions.
Assignment 5. Due at 5:00pm on Monday, December 4, 2017. Note change of due date!
- Solutions to the fourth assignment.
- SAS code used in the solutions.

Term Tests

The two term tests and solutions will be posted here shortly after the test dates.

Term Test 1 will take place at 10:30am on Tuesday, October 24, 2017 in the Canadian Martyrs Testing Centre.
Please read this important information regarding the test.
- Test Questions.
- Solutions.
Term Test 2 will take place at 10:30am on Tuesday, November 28, 2017 in the Canadian Martyrs Testing Centre.
Please read this important information regarding the test.
- Test Questions.
- Solutions.

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