Statistics & Applied Probability - PSTAT

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.


PSTAT 126
86 / 100 Enrolled
Regression Analysis
Yuedong Wang 3.1
M W
12:30 PM - 13:45 PM
40.0% A
PSTAT 126
46 / 75 Enrolled
Regression Analysis
Ali Abuzaid 2.1
T R
11:00 AM - 12:15 PM
40.0% A
PSTAT 126
98 / 100 Enrolled
Regression Analysis
Puja Pandey 4.3
T R
17:00 PM - 18:15 PM
40.0% A