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.

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
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PSTAT 126 Grigorian K Winter 2026 Total: 59
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Regression Analysis
Mengyang Michael Gu 3.9
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09:30 AM - 10:45 AM
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Probability and Statistics
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PSTAT 120B
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Probability and Statistics
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Probability and Statistics
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Design and Analysis of Experiments
Abuzaid A H
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14:00 PM - 15:15 PM
PSTAT 131
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Introduction to Statistical Machine Learning
Katie Coburn 3.1
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17:00 PM - 18:15 PM