This is the web site for the course Regression and Multivariate Data Analysis (STAT-GB.2301 [B90.2301] / STAT-UB.0017 [C22.0017]), taught by Jeffrey Simonoff. This web page refers to the Regression and Multivariate Data Analysis class being taught during the Spring 2012 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 for details if you are a graduate student, and click here for details if you are an undergraduate student.

Portable document format (pdf) versions of class handouts can be obtained here. To read these files, you will need to have a pdf reader on your computer. 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.
  • Files in ASCII format
  • Files in Excel format
  • Files in Minitab project file format

  • Click here for links to data sources on the World Wide Web.
  • Click here for a file giving types and sources of data that students have used for data analyses in recent Regression and Multivariate Data Analysis classes.
  • Click here to go to the Minitab web site. This site includes information on free maintenance updates to the software and tutorials on using Minitab.
  • Click here for a handout written by Professor Bill Greene on how to access Minitab via the Citrix site license server.
  • If you would like a quick refresher on statistical ideas and methods, this short video might help.
  • Click here for a link to an excellent paper on the application of statistical methods to real problems. The paper refers specifically to psychology problems, but the advice is applicable to any field. The full citation of the article is Wilkinson, L., & Task Force on Statistical Inference. (1999). "Statistical methods in psychology journals: Guidelines and explanations." American Psychologist, 54, 594-604. The paper is freely available at NYU or using an NYU proxy from a non-NYU machine, as the university has a subscription to the journal.

  • Click here 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.

  • Click here for SAS code for the class handouts.

    Click to go to my homepage

    Click here to submit anonymous feedback to me.

    jsimonof@stern.nyu.edu

    Click on the image above to send me e-mail.