STAR 513 - Regression Models for Researchers

  • 2 credits
View available sections

Model estimation and goodness of fit for linear models; confidence intervals for prediction and estimation; lack of fit, model diagnostics, transformations, model selection, influential observations, collinearity, interaction, polynomial regression, regression with dummy variables,weighted least squares, imputation. Does not apply to Master of Applied Statistics program.

Prerequisite

STAT 511A (Design and Data Analysis for Researchers I: R Software) or STAT 511B (Design and Data Analysis for Researchers I: SAS Software). Credit not allowed for both STAR 513 and STAT 581A3 (Applied Regression Models).

Instructors

Matt Koslovsky

(512) 786-6187 | matt.koslovsky@colostate.edu

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