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  • 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.

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

    4

    Units

    Optional

    Grading

    1, 2

    Passtime

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    Level Limit

    Letters and science

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    Lecture
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    12:30 PM - 13:45 PM
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    Spring 2024 . T B A
    BUCHN1940
    M W
    08:00 AM - 09:15 AM
    Summer 2026 . T B A
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    M T W R
    11:00 AM - 12:05 PM
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    PSTAT 126 Grigorian K Winter 2026 Total: 59
    PSTAT 126 Pandey P Winter 2026 Total: 103
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    UCSB Association for Computing Machinery
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    Other PSTAT 126 Offerings
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    PSTAT 126
    77 / 100 Enrolled
    Regression Analysis
    Adams A R
    M W
    12:30 PM - 13:45 PM
    PSTAT 126
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    Regression Analysis
    Mengyang Michael Gu 3.9
    M W
    09:30 AM - 10:45 AM
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