STAT5302
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STAT 5302 - Applied Regression Analysis (4 Cr.) Online may be available
Statistics, School of (10991)
TCLA - College of Liberal Arts
Course description
Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications.
prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.
prereq: 3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions.
Minimum credits
4
Maximum credits
4
Is this course repeatable?
No
Grading basis
OPT - Student Option
Discussion
Lecture
Requirements
001186
Fulfills the writing intensive requirement?
No
Typically offered term(s)
Every Fall, Spring & Summer