Regression analysis - Stat563
Jornsten , Email: firstname.lastname@example.org.EDU
Lecture: Thursday 6.40-9.30pm, SEC 203
Office Hours: Tue and Thur 4.30-6.30 451 Hill Center
TA: Min Ma, Email: email@example.com
[ About the
course | Links]
About the course:
- 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
- Assigned in lecture, due 1-2 weeks after. Only typed lab reports will be accepted.
- The project proposal is due Thursday Oct 16 . Write a short (1-3 pages) description of the data/the source/the paper, and the analysis/discussion you anticipate completing.
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.
- There will be a final, and a project presentation.
- 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%
How to write a report
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