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Statistics and Statistical Programming (Winter 2017)
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=== Week 7: Tuesday February 14: Linear Regression === '''Required Readings:''' * Diez, Barr, and Çetinkaya-Rundel: §7 (Introduction to linear regression); §8.1-8.3 (Multiple regression) * OpenIntro eschews a mathematical instruction to correlation. Can you look over [https://en.wikipedia.org/wiki/Correlation_and_dependence the Wikipedia article on correlation and dependence] and pay attentions to the formulas. It's tedious to compute but I'd like to you to at least see what goes into it. * Verzani: §11.1-2 (Linear regression), * Lampe, Cliff, and Paul Resnick. 2004. “Slash(Dot) and Burn: Distributed Moderation in a Large Online Conversation Space.” In ''Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '04)'', 543–550. New York, NY, USA: ACM. doi:10.1145/985692.985761. [[http://dx.doi.org/10.1145/985692.985761 Available in UW libraries]] '''Assignment (Complete Before Class):''' * [[Statistics and Statistical Programming (Winter 2017)/Problem Set: Week 7]] '''Lectures:''' * [[Statistics and Statistical Programming (Winter 2017)/R lecture outline: Week 7]] * [https://communitydata.cc/~mako/2017-COM521/com521-week_07-linear_regression.ogv Week 7 R lecture screencast: linear regression] (~42 minutes) '''Resources:''' * [https://www.openintro.org/download.php?file=os3_slides_07&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §7 Lecture Notes] * [https://www.openintro.org/download.php?file=os3_slides_08&referrer=/stat/slides/slides_0x.php Mine Çetinkaya-Rundel's OpenIntro §8 Lecture Notes] * [https://www.openintro.org/stat/videos.php OpenIntro Video Lectures] including 4 videos for §7 and 3 videos on the sections §8.1-8.3
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