STAT 757 - Applied Regression Analysis

(3 units)

Techniques and applications of linear regression analysis: inference and model diagnostics. Primarily intended for non-math graduate students.

Grading Basis: Graded
Units of Lecture: 3
Offered: Every Spring

Student Learning Outcomes
Upon completion of this course, students will be able to:
1. demonstrate understanding of the concepts that underly modern methods of linear regression, and critically assess the assumption associated with different statistical models.
2. interpret and discuss the results of regression analyses in a broader scientific context and using the terminology of the applied problem.
3. perform essential regression analysis using a professional statistical package, write technical report, and present the results to a professional audience.

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