MATH 425
Applied Linear Regression
Brigham Young University-Idaho · UGRD · Fall 2026
1 section1 open now
Catalog description
This course is designed to explore fundamentals of regression, theory of regression models, residuals and residual analysis, multiple regression, remediation, transformations, and ANOVA. Students will use R for statistical analyses.
Sections
Current meeting, instructor, credit, and enrollment details
01
8 openSeats: 32/40 seats Last recorded: Aug 15, 2026, 4:26 PMClass #2026;FA-MATH 425-01Fall 2026UGRD3.00 credits
8 available32 enrolled40 capacity
- Days & times
- MWF 1130-1230
- Meeting dates
- Sep 14 – Dec 16
- Location
- Austin Building 212
- Instructor
- Saunders, Garrett H.
Section notes
Instructional method: In-Person
Details checked 4 hours agoSeats checked 4 hours ago
Class numbers and section codes come from the registrar.
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