Apr 27, 2024  
2021-2022 Undergraduate Bulletin 
    
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2021-2022 Undergraduate Bulletin [ARCHIVED]

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STAT-396 Applied Regression Analysis

(3 cr.)
Repeatable for Credit: No
Regression analysis with a focus of analyzing real-world data, applying Linear, Polynomial, Logistic, Poisson and Non-parametric regression models. Software is used to explore real data, examine various regression models, assess the validity of assumptions, and determine the best fits.
Prerequisite(s): take either MATH 250  or MATH 275  and either STAT 130  or STAT 320  or STAT 330  


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