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What is Applied Linear Regression Syllabus 2020 about?

The syllabus outlines the Applied Linear Regression course for Fall 2020, taught by Xiaobo Guo, covering topics such as linear regression, diagnostics, and logistic regression. The course requires a prerequisite knowledge in probability, statistics, linear algebra, and calculus, with assessments based on participation, homework, midterm, and final exams. Academic integrity is emphasized, with strict policies against cheating and plagiarism.

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p9mwwjnkg4

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EN