Introduction to Data Analysis and Regression

Lecture, three hours; discussion, one hour. Requisites: one course from course 10, 12, 13, 15, Economics 41, or Psychology 100A, or score of 4 or higher on Advanced Placement Statistics Examination, and course 20. Recommended: course 102A. Applied regression analysis, with emphasis on general linear model (e.g., multiple regression) and generalized linear model (e.g., logistic regression). Special attention to modern extensions of regression, including regression diagnostics, graphical procedures, and bootstrapping for statistical influence. P/NP or letter grading.

Review Summary

Clarity
5.0 / 10
Organization
6.7 / 10
Time
5-10 hrs/week
Overall
5.0 / 10

Reviews

    Quarter Taken: Winter 2024 In-Person
    Grade: N/A

    Not the most organized lecturer. HW Assignments are short and are more theoretical than anything. Only 1 midterm during Week 6. Definitely a younger/newer professor but you can tell he's quite smart.

Course

Instructor
Xu, S.
Previously taught
24W

Grading Information

  • Has a group project

  • Attendance not required

  • 1 midterm

  • Finals week final

  • 100% recommend the textbook

Previous Grades

Grade distributions not available.