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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PHELP1513
T R
08:00 AM - 08:50 AM
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T R
09:30 AM - 10:20 AM
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Spring 2024 . T B A
BUCHN1940
M W
08:00 AM - 09:15 AM
Winter 2024 . Saha Ray R
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M W
14:00 PM - 15:15 PM
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PSTAT 126 Pandey P Fall 2025 Total: 210
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Regression Analysis
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PSTAT 120B
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Probability and Statistics
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PSTAT 120B
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Probability and Statistics
T B A
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PSTAT 120A
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Probability and Statistics
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PSTAT 130
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SAS Base Programming
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PSTAT 131
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Introduction to Statistical Machine Learning
Katie Coburn 3.1
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15:30 PM - 16:35 PM