This is the web site for the course Regression and Multivariate
Data Analysis (STAT-GB.2301 / STAT-UB.0017),
taught by Jeffrey Simonoff. This
web page refers to the Regression and Multivariate
Data Analysis class being taught during the Fall 2013 semester.
The syllabus for the course can be viewed here.
A class-by-class calendar for this course can be viewed here.
The calendar will be updated after each class.
If you are a non-Stern NYU student, there are certain procedures
that you must follow in
order to register for the course. Please click here
details if you are a graduate student, and click here
details if you are an undergraduate student.
Portable document format (pdf) versions of class handouts can be
To read these files, you will need to have a pdf reader on your
You can obtain one for free by clicking here.
These are the data files for the course.
Each location includes
a .ZIP file that contains all of the files in zipped format. You will
need an unzipping program, such as pkunzip, to unzip the archive. The
DOS-based pkunzip can be found in hundreds of locations on the web. A
location that gives a self-extracting executable to create zipping and
unzipping programs is here.
Windows-based versions can be found by clicking
here. Both of
these programs are shareware. A free Windows zipping/unzipping
programs can be found here.
in ASCII format
Files in Excel format
Files in Minitab project file format
links to data sources on the World Wide Web.
file giving types and sources of data that students have used for data
analyses in recent
Regression and Multivariate Data Analysis classes.
to go to the Minitab web site. This site includes information on free
maintenance updates to the software and tutorials on using Minitab.
for a handout written by Professor Bill Greene on how to access Minitab
via the Citrix site
If you would like a quick refresher on statistical ideas and
video might help.
for a link to an excellent paper on the application of statistical
to real problems. The paper refers specifically to psychology problems,
but the advice is applicable to any field. The full citation of the
is Wilkinson, L., & Task Force on Statistical Inference. (1999).
"Statistical methods in psychology journals: Guidelines and
explanations." American Psychologist, 54, 594-604. The
available at NYU or using an NYU proxy from a non-NYU machine, as the
university has a subscription to the journal.
for S-PLUS/R code for the class handouts. Click here for a web page with a
good deal of discussion
on how to get started using R.
for SAS code for the class handouts.
Click to go
to my homepage
to submit anonymous
feedback to me.
Click on the image above to send me e-mail.