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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
100 / 100 Full
Regression Analysis
Yuedong Wang 3.4
T R
09:30 AM - 10:45 AM
70.5% A
PSTAT 126
67 / 125 Enrolled
Regression Analysis
Puja Pandey 4.0
T R
15:30 PM - 16:45 PM
70.0% A