BBA 350 - Predictive Analytics

Institution:

Wilmington University

Subject:

Description:

Students in this course will utilize data modeling methodologies of least squares and logistic regression, as well as synthesize statistical results into an actionable set of findings and recommendations to guide business decision making. Students will build statistical models and implement regression analysis in real-world problems from business, economics, and marketing research and consumer behavior. Topics include multiple regression models utilizing first-order, second order, and interaction models with quantitative and qualitative variables, regression pitfalls, and residual analysis. Students will acquire skills not only in the mechanics of regression but also in deciding on appropriate models, interpreting results, and diagnosing problems.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.wilmu.edu

Phone Number:

(877) 967-5464

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Trimester

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