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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08:00 AM - 09:15 AM
Summer 2026 . T B A
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PSTAT 126 Grigorian K Winter 2026 Total: 59
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PSTAT 126
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Regression Analysis
Mengyang Michael Gu 3.9
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09:30 AM - 10:45 AM
PSTAT 120C
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Probability and Statistics
Jack Miller 4.7
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11:00 AM - 12:15 PM
PSTAT 120B
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Probability and Statistics
Amos Natido 4.1
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14:00 PM - 15:15 PM
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Probability and Statistics
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Probability and Statistics
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14:00 PM - 15:15 PM
PSTAT 122
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Design and Analysis of Experiments
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M W
14:00 PM - 15:15 PM
PSTAT 131
164 / 250 Enrolled
Introduction to Statistical Machine Learning
Katie Coburn 3.1
M W
17:00 PM - 18:15 PM