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
8.3 / 10
Time
0-5 hrs/week
Overall
8.3 / 10

Reviews

    Quarter Taken: Spring 2023 In-Person
    Grade: A+

    This class was useful and professor was clear and patient.

Course

Instructor
Robert L. Gould
Previously taught
23S 22S 20S 20W 19W 16F 15F 14F

Grading Information

  • Has a group project

  • Attendance not required

  • 2 midterms

  • No final

  • 100% recommend the textbook