STAT571A
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STAT571A - Advanced Statistical Regression Analysis
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)
Course Requisites
MATH 410 or MATH 413, or equivalent; MATH 461 or MATH 466, or equivalent. Graduate standing.
Cross Listed Courses
May be convened with
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Fall