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
10.0 / 10
Organization
10.0 / 10
Time
5-10 hrs/week
Overall
10.0 / 10

Reviews

    Quarter Taken: Winter 2024 In-Person
    Grade: A+

    Maria Cha is an INCREDIBLE professor, definitely take her if you can. I learned so much and built such a strong foundation for the following series courses because of her.

    Quarter Taken: Winter 2024 In-Person
    Grade: A

    It was a good class. class presentation were well organized

Course

Instructor
Maria Cha
Previously taught
25W 24W 23Su 23W

Grading Information

  • Has a group project

  • Attendance not required

  • 1 midterm

  • 10th week final

  • 50% recommend the textbook

Previous Grades

Grade distributions not available.