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Nov 25, 2024
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STAT 652 - Introduction to Regression and Linear Models (3 units)
General linear regression analysis, analysis of variance, analysis of covariance, diagnostics, design of experiments, multiple comparisons. Data analysis with a professional package such as R is emphasized.
Prerequisite(s): STAT 461 or STAT 661 ; STAT 467 or STAT 667 .
Units of Lecture: 3
Offered: Every Spring
Student Learning Outcomes:
Upon completion of this course:
1. Students will be able to build, estimate and interpret multivariate linear regression models using formal goodness-of-fit approaches and statistical testing procedures.
2. Students will be able to build, estimate and interpret ANOVA and ANCOVA models using formal goodness-of-fit approaches and statistical testing procedures.
3. Students will be able to perform linear modeling analysis using a professional Statistical package, prepare reports, and present their results to a professional audience.
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