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Data Analysis Examples

Data Analysis Examples
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:

Simply Statistics