2023 Spring Term
This is an intermediate level course in statistical regression techniques widely used across a variety of careers. Students utilize numerical and graphical descriptive methods to explore, analyze and interpret data. Students employ simple and multiple regression to perform causal inference and quantify important relationships in business, economic, social and policy contexts. Applications to real world data using modern statistical software and developing skills needed to understand empirical work are emphasized.
Other Requirements: PREREQ: ECON 245 AND ((COBE MAJOR: ADMISSION TO UPPER DIVISION BUSINESS COURSES AND 2.50 CUMULATIVE GPA) OR (NON-COBE MAJOR/MINOR/COBE MINOR: 60 UNITS AND 2.00 CUMULATIVE GPA))
- This schedule is informational and does not guarantee availability for registration.
- Sections may be full or not open for registration. Please use WINS if you wish to register for a course.
|Section Details||Meeting Details & Topic||Instructor||Syllabus|
|01/23 - 05/06 (1)||