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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BARACALDO LAN
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ILP 3316
T R
09:30 AM - 10:20 AM
25 / 25 Full

22 / 25

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Summer 2025 . Baracaldo Lan
PHELP1425
M T W R
11:00 AM - 12:05 PM
Winter 2024 . Saha Ray R
BUCHN1920
M W
14:00 PM - 15:15 PM
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PSTAT 126 Baracaldo Lan Summer 2024 Total: 54
PSTAT 126 Baracaldo Lan Summer 2023 Total: 35
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PSTAT 126
35 / 50 Enrolled
Regression Analysis
Karen GRIGORIAN 2.6
M T W R
18:30 PM - 19:35 PM
42.3% A
PSTAT 120A
22 / 100 Enrolled
Probability and Statistics
Jack Miller 4.8
M T W R
09:30 AM - 10:35 AM
31.5% A
PSTAT 120C
95 / 100 Enrolled
Probability and Statistics
Katie Coburn 3.3
M T W R
12:30 PM - 13:35 PM
47.2% A
PSTAT 130
5 / 50 Enrolled
SAS Base Programming
T B A
M T W R
08:00 AM - 09:50 AM
35.8% A
PSTAT 130
24 / 50 Enrolled
SAS Base Programming
Julie Swenson 4.3
M T W R
10:00 AM - 11:50 AM
35.8% A
PSTAT 130
15 / 50 Enrolled
SAS Base Programming
Julie Swenson 4.3
M T W R
08:00 AM - 09:50 AM
35.8% A
PSTAT 131
50 / 50 Full
Introduction to Statistical Machine Learning
Katie Coburn 3.3
M T W R
15:30 PM - 16:35 PM
58.3% A