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
Unlocks PSTAT 115 PSTAT 127 PSTAT 131 PSTAT 197A PSTAT 220A PSTAT 231
These majors only finms actsc stsds stsap stats
PANDEY P
No info found
Lecture
BUCHN1930
T R
11:00 AM - 12:15 PM
100 / 100 Full
Sections
PHELP1529
W
10:00 AM - 10:50 AM
25 / 25 Full
PSY-E1805
W
11:00 AM - 11:50 AM
25 / 25 Full
PHELP1525
W
14:00 PM - 14:50 PM
25 / 25 Full
PHELP1525
W
16:00 PM - 16:50 PM
25 / 25 Full
See All
Winter 2024 . Pandey P
PSYCH1924
T R
15:30 PM - 16:45 PM
Spring 2024 . Pandey P
ILP 2101
T R
12:30 PM - 13:45 PM
See All
PSTAT 126 Ma Xiaoran Fall 2023 Total: 52
PSTAT 126 Mouti S Fall 2023 Total: 68
PSTAT 126
100 / 100 Full
Regression Analysis
Pandey P
T R
14:00 PM - 15:15 PM
PSTAT 115
73 / 90 Enrolled
Introduction to Bayesian Data Analysis
Brian Wainwright 3.1
M W
11:00 AM - 12:15 PM
PSTAT 120A
85 / 190 Enrolled
Probability and Statistics
Brian Wainwright 3.1
M W
14:00 PM - 15:15 PM
PSTAT 120A
90 / 90 Full
Probability and Statistics
Katie Coburn 4.1
T R
17:00 PM - 18:15 PM
PSTAT 120B
88 / 125 Enrolled
Probability and Statistics
Uma Ravat 2.1
W F
12:30 PM - 13:45 PM
PSTAT 120B
48 / 125 Enrolled
Probability and Statistics
Uma Ravat 2.1
W F
14:00 PM - 15:15 PM