2022-2023 Catalog 
    
    Mar 28, 2024  
2022-2023 Catalog [ARCHIVED CATALOG]

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MSDS 601 - Linear Regression Analysis


Unit(s): 2

This course is an intensive introduction to linear models, with a focus on both principles and practice. Examples from finance, business, marketing and economics are emphasized. Large data sets are used frequently. Topics include simple and multiple linear regression; weighted, generalized, and outlier-resistant least squares regression; interaction terms; transformations; regression diagnostics and addressing violations of regression assumptions; variable selection techniques like backward elimination and forward selection, and logit/probit models. Statistical packages include R and SAS.


Restriction: Level Restricted to Graduate; Field of study restricted to Data Science Major
College of Arts and Sciences



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