STAT3032
STAT 3032 - Regression and Correlated Data (4 Cr.)
Statistics, School of (10991)
TCLA - College of Liberal Arts
STAT 3032 - Regression and Correlated Data (4 Cr.)
Course description
This is a second course in statistics with a focus on linear regression and correlated data. The intent of this course is to prepare statistics, economics, and actuarial science students for statistical modeling needed in their discipline. The course covers the basic concepts of linear algebra and computing in R, simple linear regression, multiple linear regression, statistical inference, model diagnostics, transformations, model selection, model validation, and basics of time series and mixed models. Numerous datasets will be analyzed and interpreted using the open-source statistical software R.
prereq: STAT 3011 or STAT 3021
prereq: STAT 3011 or STAT 3021
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
OPT - Student Option
Discussion
Lecture
Requirements
009204
Typically offered term(s)
Every Fall & Spring