STAT 208

Linear Models

5credits
About this course

Theory, methods, and applications of linear statistical models. Review of simple correlation and simple linear regression. Multiple and partial correlation and multiple linear regression. Analysis of variance and covariance. Linear model diagnostics and model selection. Case studies drawn from natural, social, and medical sciences. STAT 205 strongly recommended as a prerequisite. Undergraduates are encouraged to take this class with permission of instructor. (Formerly AMS 256.)

All available terms

2 terms

Avg. GPA
3.54
Grades
31

Other grades

S35.5%
More course details

University of California, Santa Cruz

STAT 208 at UCSC: average GPA 3.54 across 31 students. Grade distribution by term. Theory, methods, and applications of linear statistical models. Review of…

Average GPA: 3.54

Grade distribution records: 31 students across 2 terms.

Grade distribution

GradeStudentsPercent
A+26.5%
A929.0%
A-26.5%
B412.9%
B-26.5%
C13.2%
S1135.5%

Based on 31 student grade records across 2 terms and 2 professors.

Instructors

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