(Zoom ID 971 4730 8967)
Weekly quizzes during tutorial Thursday at 6pm online via Crowdmark. Please join the tutorial Zoom meeting at
https://utoronto.zoom.us/j/98226251131
(Zoom ID 982 2625 1131)
Piazza: A good place to share information and insights with other students, as well as getting answers from the instructors:
https://piazza.com/utoronto.ca/fall2020/sta302
Note: This page is now complete.
Information about the deferred final exam is now available.
The formula sheet for the deferred final exam is posted. It is the same as the formula sheet for the regular finaal exam.
- Syllabus
- Computing Resources: Information and Links, including R download.
- Formula Sheet
- Formula Sheet for the Final Exam: PDF View LaTeX Download LaTeX
- Assignments: Please try them yourself before looking at the solutions.
- Assignment One (all review): Quiz on Thursday Sept. 17th during tutorial.
- Assignment Two (Linear algebra, Statistics review and Moment-generating functions): Quiz on Thursday Sept. 24th during tutorial.
- Assignment Three (More linear algebra, Random vectors): Quiz on Thursday Oct. 1st during tutorial.
- Assignment Four (Least Squares): Quiz on Thursday Oct. 8th during tutorial.
- Assignment Five (More Least Squares): Quiz on Thursday Oct. 2nd during tutorial.
- Assignment Six (A little more least squares, Moment-generating functions of random vectors, Multivariate normal): Quiz on Thursday Oct. 29th during tutorial.
- Assignment Seven (A little more least squares, Regression model with normal error terms, leading to the t-tests and F-tests): Quiz on Thursday Nov. 5th during tutorial.
- Assignment Eight (Interpretation; Tests and confidence intervals with R): Quiz on Thursday Nov. 12th during tutorial.
- Assignment Nine (Categorical explanatory variables): Quiz on Thursday Nov. 19th during tutorial.
- Assignment Ten (Prediction intervals and regression diagnostics): Quiz on Thursday Nov. 26th during tutorial.
- Assignment Eleven (Generalized least squares, and the Centered model): Quiz on Thursday Dec. 3d during tutorial.
- Assignment Twelve (Omitted variables and Instrumental Variables): Final exam only, maybe.
- Lectures
- Statistical introduction. See Chapter One of Linear models in statistics for another introduction.
- Introduction to R: See Appendix B of Linear models with R for another introduction.
- PDF OpenOffice.org format Download zip archive including graphics.
- Moment-generating functions: See your STA256 text/notes.
- More linear algebra. See Chapter Two of Linear models in statistics for more detail. Please notice the slide entitled "Three mistakes that will get you a zero."
- Random Vectors: See Chapter Three of Linear models in statistics for more detail.
- Least Squares: See Chapter Seven of Linear models in statistics for more detail.
- Least squares with R
- More Least Squares: See Chapter Section 7.3.2 of Linear models in statistics for more detail.
- The Multivariate Normal Distribution: See Chapter 4 of Linear models in statistics for more detail.
- Tests and Confidence Intervals: See Chapter 8 of Linear models in statistics for more detail.
- Interpretation: How to talk about it
- Tests and Confidence Intervals with R: Chapter 3 in Linear models with R emphasizes the full-reduced model approach.
- Categorical Predictor Variables
- Categorical Predictor Variables with R
- Polynomial Regression and Response Surface Methodology
- Prediction Intervals
- Prediction Intervals with R
- Regression Diagnostics
- Regression Diagnostics with R
- Part 1: PDF OpenOffice.org format
- Part 2: PDF OpenOffice.org format
- Download zipped files
- Weighted Least Squares and Generalized Least Squares
- Weighted Least Squares with R
- The Centered Model
- Centered Model with R
- Random Explanatory Variables
- Omitted Variables and Instrumental Variables
- Stepwise variable selection with R
- Quiz Solutions
- Textbooks
- Linear models in statistics (2008) by A. C. Renscher and B. G. Schaalje. This is the main textbook.
- Linear models with R (2009) by J. Faraway. This is a secondary text.
- Lecture Videos
- Thursday Sept. 10th
- Tuesday Sept. 15th
- Thursday Sept. 17th
- Tuesday Sept. 22nd
- Thursday Sept. 24th
- Tuesday Sept. 29th
- Thursday Oct. 1st
- Tuesday Oct. 6th
- Thursday Oct. 8th
- Tuesday Oct. 20th
- Thursday Oct. 22nd
- Tuesday Oct. 27th
- Thursday Oct. 29th
- Tuesday Nov. 3d
- Thursday Nov. 5th
- Tuesday Nov. 10th
- Thursday Nov. 12th
- Tuesday Nov. 17th
- Thursday Nov. 19th
- Tuesday Nov. 24th
- Thursday Nov. 26th
- Tuesday Dec. 1st
- Thursday Dec. 3d
- Tuesday Dec. 8th
All course materials prepared by Jerry are licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License. Source code is available. See the link above for more information.