STAT3503 - Regression Analysis
Course: STAT3503 (Regression Analysis) in STAT department at Carleton University.
Credit Hours: 0.5 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 7 prerequisite courses
Prerequisite Chain Depth: 6 levels of foundational courses required
Future Opportunities: Unlocks 8 advanced courses for further study
Interdisciplinary Requirements: Prerequisites span 4 different departments
Course Type: Core pathway course - critical for degree progression
Part of the STAT curriculum at Carleton University, helping students progress through degree requirements.
Courses unlocked by STAT3503
- ECON4707 - Econometrics II
- STAT3504 - Analysis of Variance and Experimental Design
- STAT4601 - Data Mining I (Honours)
- STAT4604 - Statistical Computing (Honours)
- STAT4503 - Applied Multivariate Analysis (Honours)
- STAT4504 - Statistical Design and Analysis of Experiments (Honours)
- STAT4603 - Time Series and Forecasting (Honours)
- ECON4713 - Time-Series Econometrics
Academic Planning at Carleton University
Students planning STAT3503 at Carleton University should complete 7 prerequisites before enrollment.
Course Sequence: This course requires a 6-level prerequisite chain, requiring careful multi-semester planning for optimal progression.
Future Pathways: Completing STAT3503 enables enrollment in 8 advanced courses, opening specialization opportunities in the STAT program.
This year 0 course at Carleton University integrates into structured degree pathways for STAT programs, supporting timely graduation and academic progression.