MATH 50015

APPLIED STATISTICS      3 Credit Hours

Kent State University at Ashtabula · UGRD · Fall 2026

1 section
Add to a schedule

Catalog description

(Slashed with MATH 40015 ) Course is based on classical linear regression techniques with an emphasis on real data using the principles of sound data analysis. Close attention is given to issues of interpretation, diagnostics, outliers and influential points, goodness of fit and model selection. Topics include simple and multiple linear regression, transformation and modifications of covariates and responses, design matrices, variable selection and logistic regression.

Sections

Current meeting, instructor, credit, and enrollment details

Updated 3 hours ago

001

Availability not recently verified
Class #kent_stark-5991Fall 2026UGRD
Days & times
No scheduled meeting time
Meeting dates
Location
Instructor
Staff
Class numbers and section codes come from the registrar.
Spot missing or incorrect course data?