STAT571A

STAT571A - Advanced Statistical Regression Analysis

Mathematics Graduate UA - UA General

Course Description

Regression analysis including simple linear regression and multiple linear regression. Matrix formulation and analysis of variance for regression models. Residual analysis, transformations, regression diagnostics, multicollinearity, variable selection techniques, and response surfaces. Students will be expected to utilize standard statistical software packages for computational purposes.

Min Units

3

Max Units

3

Repeatable for Credit

No

Grading Basis

GRD - Regular Grades A, B, C, D, E

Career

Graduate

Course Attributes

CE - CL (Cross Listed), GIDP - GC (Global Change), GIDP - STATD (Statistics and Data Science)

Cross Listed Courses

Name

Lecture

Workload Hours

3

Optional Component

No

Typically Offered Main Campus

Fall