The pages below contain examples (often hypothetical) illustrating the application of different statistical analysis techniques using different statistical packages. Each page provides a handful of examples of when the analysis might be used along with sample data, an example analysis and an explanation of the output, followed by references for more information. These pages merely introduce the essence of the technique and do not provide a comprehensive description of how to use it. The combination of topics and packages reflect questions that are often asked in our statistical consulting. As such, this heavily reflects the demand from our clients at walk in consulting, not demand of readers from around the world. For grants and proposals, it is also useful to have power analyses corresponding to common data analyses. The content of this web site should not be construed as an endorsement of any particular web site, book, or software product by the University of California.
Brandon Foltz, M.Ed.This is the first video in what will be, or is (depending on when you are watching this) a multipart video series about Simple Linear Regression. In the next few minutes we will cover the basics of Simple Linear Regression starting at square one. And for the record, from now on if I say "regression" I am referring to simple linear regression as opposed to multiple regression or models that are not linear. Regression allows us to model, mathematically, the relationship between two or more variables. For now, we will be working with just two variables; an independent variable and a dependent variable. So in this video, we are going to talk about that idea. So if you are new to Regression or are still trying to figure out exactly what it even IS…this video is for you. So sit back, relax, and let's go ahead and get to work. For my complete video library organized by playlist, please go to my video page here: