Regression analysis - Stat563
Instructor: Rebecka
Jornsten , Email: rebecka@stat.rutgers.EDU
Lecture: Thursday 6.40-9.30pm, SEC 208
Office Hours: Wed 4.30-5.00, Thur 5.30-6.30 451 Hill Center
TA: Tzu-Lin Hsu. Email: zulinhsu@stat.rutgers.edu, Office hours Mon 4-5, Tue 5-6 in 557 Hill Center.
[ About the
course | Links]
Announcements
- The lecture notes and demos from this week and last week are posted under notes.
- Lab 3 is posted under labs. Due date Nov 1.
About the course:
- Texts
- Required: Applied linear regression models. Kutner, Nachsheim and Neter. McGraw and Hill.
- Suggested: Rice, J.A. (1995) Mathematical Statistics and Data Analysis. Second Edition. Belmont, Duxbury.
- Suggested: Modern applied statistics with R, Springer
- Labs
- Assigned in lecture, due 1-2 weeks after. Only typed lab reports will be accepted.
- Project
- The project proposal is due Thursday Nov 1 . Write a short (1-3 pages) description of the data/the source/the paper, and the analysis/discussion you anticipate completing.
- Computing
-
The labs are an integral part of the course. They will require you
to analyze data using a statistical software package, like SAS or R, and to
write up your findings in short reports. In addition, a final project counts for 25 % of your course grade. You can use any programming languages you want, but the labs will be written for R and I will not assign alternative labs.
- Exams
- There will be a final, and a project presentation.
- Grading
- Your letter grade for the course will be based on the overall
score you get from labs, the exam and the project.
| Labs | 20% |
| Final | 40% |
| Project and Presentation | 40% |
Links:
Course outline
Project
Lab Assignments
Notes
How to write a report
Back to : Rebecka Jornsten
9/6/07