Course # 31102 Section Number 1 Day(s) M- W Time(s) 9:00am-10:20am Term Winter 2027 Course Instructor Austin Wright Syllabus Syllabus 1/13/26 Must be a Harris masters student to enroll. No exceptions for non-Harris students, even by consent. This course is a continuation of PPHA 31002, focusing on the statistical concepts and tools used to study the association between variables. This course will introduce students to regression analysis and explore its uses in policy analysis. Notes Students must register separately for both a lecture (PPHA 31102) and a discussion (PPHA 31104). Attendance at discussions is optional but encouraged for this course. Course Prerequisite Must be a Harris masters student to enroll. Course Sections Quarter Course # Title Instructor Day(s) Time(s) Syllabus Winter 2027 PPHA 31102/1 Statistics for Data Analysis II: Regressions Austin Wright Monday, Wednesday 9:00am-10:20am Syllabus Winter 2027 PPHA 31102/2 Statistics for Data Analysis II: Regressions Dmitri Koustas Monday, Wednesday 9:00am-10:20am Syllabus Winter 2027 PPHA 31102/3 Statistics for Data Analysis II: Regressions Austin Wright Monday, Wednesday 10:30am-11:50am Syllabus Winter 2027 PPHA 31102/4 Statistics for Data Analysis II: Regressions Dmitri Koustas Monday, Wednesday 10:30am-11:50am Syllabus Winter 2027 PPHA 31102/5 Statistics for Data Analysis II: Regressions Ingvil Gaarder Monday, Wednesday 1:30pm-2:50pm Syllabus Winter 2027 PPHA 31102/6 Statistics for Data Analysis II: Regressions Austin Wright Monday, Wednesday 1:30pm-2:50pm Syllabus Recent News More news Harris Alumnus Diego Macera Receives 2026 Rising Star Award Mon., November 02, 2026 Answering His Own Question: Ayan Sarkar, MPP Class of 2027 Fri., October 30, 2026 Q&A: Eyal Frank on the Stakes of Rolling Back Environmental Protections Wed., October 28, 2026 Upcoming Events More events Drop-in with a Director Tue., November 03, 2026 | 12:00 PM Get to Know Harris! A Virtual Information Session Wed., November 04, 2026 | 12:00 PM Policy Outlook: Making Sense of the Midterms Wed., November 04, 2026 | 12:00 PM