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Fall 2019 Statistics GU4205 section 003
LINEAR REGRESSION MODELS
|Day & Time
|Course Description||Prerequisites: STAT GU4204 or the equivalent, and a course in linear algebra. Theory and practice of regression analysis. Simple and multiple regression, testing, estimation, prediction, and confidence procedures, modeling, regression diagnostics and plots, polynomial regression, colinearity and confounding, model selection, geometry of least squares. Extensive use of the computer to analyse data.|
|Enrollment||18 students (35 max) as of 2:06PM Tuesday, September 17, 2019|
|Open To||Barnard, Columbia College, Engineering and Applied Science: Undergraduate, Engineering and Applied Science: Graduate, Graduate School of Arts and Science, General Studies, International and Public Affairs, School of Professional Studies|
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