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
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.
Showing 1 review
Course
Grading Information
-
Has a group project
-
Attendance not required
-
1 midterm
-
Finals week final
-
100% recommend the textbook
Previous Grades
Grade distributions not available.