Fall 2024 Decision, Risk & Operations Management B8114 section 060

Applied Regression Analysis

Applied Regression Analys

Call Number 16722
Day & Time
Location
T 9:00am-12:15pm
420 GEFFEN HALL
Points 1.5
Grading Mode Standard
Approvals Required None
Instructor David Juran
Type LECTURE
Method of Instruction In-Person
Course Description

The goal of this course is to provide students with practical experience in building and analyzing regression models to address business problems.
The course picks up where the core course in Managerial Statistics left off. We will begin with a brief review of regression analysis as covered in the core and then move on to new topics, including model selection, interaction effects, nonlinear effects, classification problems, and forecasting.
All material will be covered through examples, exercises, and cases. In addition, students will work in groups on a final project of their choosing. The goal of the project is to address a specific business problem through statistical analysis.

Web Site Vergil
Department Decision, Risk and Operations
Enrollment 38 students (74 max) as of 11:06AM Saturday, December 7, 2024
Subject Decision, Risk & Operations Management
Number B8114
Section 060
Division School of Business
Open To Business, Engineering:Graduate, Journalism
Section key 20243DROM8114B060