Applied Regression Methods
General
Prefix
STAT
Course Number
421
Course Level
Undergraduate
Department/Unit(s)
College/School
College of Science and Engineering
Description
Advanced regression methods focused on complex real-world data. Model checking and diagnostics, model building, transformations, polynomial regression, logistic regression, general linear models, nonparametric regression methods.
Prerequisites
Credits
Min
3
Max
3
Repeatable
No
Goals and Diversity
MN Goal Course
No
Cultural Diversity
No
Learning Outcomes
Outcome
Determine meaning and perform computation of regression coefficients and diagnostics.
Outcome
Select the best regression equation based on a given criterion.
Outcome
Use computer software to perform a variety of regression analysis and ANOVA.
Outcome
Apply inferential methods to test hypotheses in regression and a variety of ANOVA problems.
Outcome
Use the logistic regression analysis for binary response data.
Dependencies
Programs
STAT421
is a
completion requirement
for: