TSTAT 430

Applied Linear Regression

University of Washington-Tacoma Campus · UGRD · Fall 2026

1 section

Catalog description

Investigates simple/multiple least-squares linear regression models including inference, interpretation, variable selection, model diagnostics and corrections, ANOVA/ANCOVA, analysis of real data to illustrate concepts using modern statistical software. Discipline-specific writing and communication is taught and emphasized. Course overlaps with: TMATH 410 and STAT 423. Prerequisite: a minimum grade of 2.0 in TSTAT 346; and a minimum grade of 2.0 in TMATH 208.

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Class #washington_tacoma_campus-1534Fall 2026UGRD5 credits

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Instructor: Staff

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