May 21, 2019  
2018-2019 Undergraduate Catalog 
    
2018-2019 Undergraduate Catalog [ARCHIVED CATALOG]

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MATH 4387 - Applied Regression Analysis


Topics include simple and multiple linear regression, model diagnostics and remediation, and model selection. Emphasis is on practical aspects and applications of linear models to the analysis of data in business, engineering and behavioral, biological and physical sciences. Prereq: Grade of C- (1.7) or better in MATH 3191 and in MATH 3800 or 4820 or 3382. Note: Students who have a grade of B- or better in MATH 3191, an A in MATH 3800 or a B- or better in MATH 4820 pass this course at a much higher rate. Cross-listed with MATH 5387. Max hours: 3 Credits. Semester Hours: 3 to 3



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