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@ -19,7 +19,7 @@ Table of Contents
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- [Programming Languages / Compilers](#programming-languages--compilers)
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- [Security](#security)
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- [Systems](#systems)
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- [Statistics/Regression](#statistics)
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- [Statistics / Regression](#statistics)
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### Legend
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@ -1011,7 +1011,7 @@ and anti-analysis techniques.
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-----
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### Statistics
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-[STAT 340](https://andrewpbray.github.io/reg/index.html) **Applied Regression Methods** *Smith College* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" />
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- [STAT 340](https://andrewpbray.github.io/reg/index.html) **Applied Regression Methods** *Smith College* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" title="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" title="Lecture Notes" />
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- This course covers the beautiful and useful tool of regression, which is the central technique of statistical modeling. By the end of this course you will be able to:
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- Discern research questions and data that are well-suited to regression analysis.
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@ -1020,4 +1020,4 @@ and anti-analysis techniques.
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- Perform regression analysis in a modern computing environment.
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- Interpret your model and communicate what it implies.
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- [Syllabus](https://andrewpbray.github.io/reg/syllabus.html)
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-[Lecture Notes](https://andrewpbray.github.io/reg/index.html)
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- [Lecture Notes](https://andrewpbray.github.io/reg/index.html)
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