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
8.3 / 10
Organization
6.7 / 10
Time
0-5 hrs/week
Overall
10.0 / 10

Reviews

    Quarter Taken: Spring 2024 In-Person
    Grade: A

    Pretty easy class but mandatory attendance worth 20% of the grade. Honestly, I'm not even too sure what I learnt from the class but the HW's were very straightforward and she had quizzes every other week which followed an interview style questions that were mostly interpreting outputs and graphs no calculations at all. No midterm and the final was just like the quizzes. Overall very easy class.

Course

Instructor
Vivian Lew
Previously taught
24S

Grading Information

  • Has a group project

  • Attendance required

  • No midterms

  • Finals week final

  • 0% recommend the textbook

Previous Grades

Grade distributions not available.