Spring 2025
STAT 151A 001 - LEC 001
Linear Modelling: Theory and Applications
Nikita Zhivotovskiy
Class #:25750
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Statistics
Current Enrollment
Total Open Seats:
3
Enrolled: 67
Waitlisted: 0
Capacity: 70
Waitlist Max: 20
Open Reserved Seats:
3 reserved for Statistics Majors
Hours & Workload
2 hours of instructional experiences requiring special laboratory equipment and facilities per week, 3 hours of instructor presentation of course materials per week, and 7 hours of outside work hours per week.
Final Exam
THU, MAY 15TH
07:00 pm - 10:00 pm
Mulford 159
Other classes by Nikita Zhivotovskiy
+ 1 Independent Study
Course Catalog Description
A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies. This course uses either R or Python as its primary computing language, as determined by the instructor.
Rules & Requirements
Requisites
- STAT 135. STAT 133 recommended.
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
Current Enrollment
Open Reserved Seats:
3 reserved for Statistics Majors
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials