• Courses
  • PSTAT
  • PSTAT 126

    • Regression Analysis . PSTAT 126

    Linear and multiple regression, analysis of residuals, transformations, variable and model selection including stepwise regression, and analysis of covariance. The course will stress the use of computer packages to solve real-world problems.

    + Add to schedule
    Prerequisites: PSTAT 10 and PSTAT 120B both with a minimum grade of C or better.

    4

    Units

    Optional

    Grading

    1, 2

    Passtime

    None

    Level Limit

    Letters and science

    College
    Unlocks PSTAT 115 PSTAT 127 PSTAT 237 PSTAT 131 PSTAT 197A PSTAT 220A
    These majors only finms stsds actsc stsap stats
    Instructors
    T B A
    No info found
    Lecture
    ARTS 1356
    M T W R
    11:00 AM - 12:05 PM
    0 / 50
    Sections
    PHELP1525
    T R
    17:00 PM - 17:50 PM
    0 / 25
    PHELP1513
    T R
    18:00 PM - 18:50 PM
    0 / 25
    Enrollment Trends
    Past Enrollment Trends (23)
    See All
    Spring 2024 . T B A
    BUCHN1940
    M W
    08:00 AM - 09:15 AM
    Winter 2024 . Saha Ray R
    BUCHN1920
    M W
    14:00 PM - 15:15 PM
    Grading Trends (73)
    See All
    PSTAT 126 Pandey P Fall 2025 Total: 210
    PSTAT 126 Grigorian K Summer 2025 Total: 40
    Other PSTAT 126 Offerings
    See All
    PSTAT 126
    0 / 50 Enrolled
    Regression Analysis
    T B A
    M T W R
    11:00 AM - 12:05 PM
    You Might Also Like
    PSTAT 120C
    0 / 100 Enrolled
    Probability and Statistics
    T B A
    M T W R
    09:30 AM - 10:35 AM
    PSTAT 120B
    0 / 75 Enrolled
    Probability and Statistics
    T B A
    M T W R
    12:30 PM - 13:35 PM
    PSTATW 120A
    0 / 150 Enrolled
    Probability and Statistics
    Jack Miller 4.7
    M T W R
    09:30 AM - 10:35 AM
    PSTAT 120A
    0 / 100 Enrolled
    Probability and Statistics
    T B A
    M T W R
    14:00 PM - 15:05 PM
    PSTAT 130
    0 / 50 Enrolled
    SAS Base Programming
    T B A
    M T W R
    08:00 AM - 09:50 AM
    PSTAT 131
    0 / 75 Enrolled
    Introduction to Statistical Machine Learning
    Katie Coburn 3.1
    M T W R
    15:30 PM - 16:35 PM