Tutorials Friday 10:10-11:00 in Davis 1104 and 12:10-1:00 in IB 245.
Note: This page is under construction, and will be updated frequently throughout the term.
Final exam will be Tuesday Dec. 17th from 9-12 in DV Gym C
Office hours for the final exam:
- Tuesday Dec. 10: Jerry 9:10-11:00 a.m.
- Thursday Dec. 12th: Jahanara 10:10 a.m. - 12:00
- Friday Dec. 13th: Jahanara 10:10 a.m. - 12:00
- Monday Dec. 16th: Jerry, 11:10-1:00
Quiz solutions
Data for the Regular Final exam: In R's "Packages and Data" menu, choose "Package Manager" and check MASS. This will bring up a Help page. Under B, click on birthwt. If checking MASS does not bring up the Help page, try help(birthwt) at the R prompt. The dependent variable will be baby's birth weight in grams.
Assignment 12 is posted below. It covers material between Assignment 11 and the end of term. The final exam may or may not include materiual like this.
- Syllabus
- Outline of topics in order, with some detail
- Formula Sheet
- Computing Resources: Information and Links.
- Assignments
- Assignment One (Mostly review): Quiz on Friday Sept. 20th
- Assignment Two: Quiz on Friday Sept. 27th
- Assignment Three: Quiz on Friday October 4th
- Assignment Four: Quiz on Friday October 11th
- Assignment Five: Quiz on Friday October 18th
- Assignment Six: Quiz on Friday October 25th
- Assignment Seven: Quiz on Friday November 1st
- Assignment Eight: Quiz on Friday November 8th
- Assignment Nine: Quiz on Friday November 15th
- Assignment Ten: Quiz on Friday November 22nd
- Assignment Eleven: Quiz on Friday November 29th
- Assignment Twelve: Final exam on Tuesday Dec. 17th
- Lectures Less than half the lectures are on overheads; the rest will be hand-written on the board. See the Outline of Topics for more information.
- Statistical introduction Part (a). Parts (b) and (c) are hand-written.
- Introduction to R
- More linear algebra
- Random vectors
- Linear models and least squares: Handwritten
- Least squares with R
- Properties of least squares estimates: Handwritten
- Multivariate Normal distribution: Handwritten
- Inference for the normal model Part One : Handwritten
- Basic normal linear model with R
- Prediction intervals: Handwritten
- Prediction intervals with R
- General linear test: Handwritten
- General linear test with R
- Regression diagnostics: Handwritten
- Regression diagnostics with R
- Polynomial regression and Weighted Least Squares: Handwritten
- Categorical independent variables and interactions
- Categorical independent variables and interactions with R
- The centered model: Handwritten
- Random independent variables
- Omitted variables
- The problem of measurement error in regression
- Including measurement error in the model (Handwritten)
- Stepwise variable selection
- Data sets from lectures and homework
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.