Skip to main content
MAT300

Applied Statistics II: Regression Analysis

Course DirectorySNHU MAT300 has 3 direct prerequisites and is required by 2 other courses.

Undergraduate · 3 credits

This is a second course in statistics that builds upon knowledge gained in an introduction to statistics course. Students will learn to build statistical models and implement regression analysis in real-world problems from engineering, sociology, psychology, science, and business. Topics include multiple regression models (including first-order, second-order and interaction models with quantitative and qualitative variables), regression pitfalls, and residual analysis. Students will gain experience not only in the mechanics of regression analysis (often by means of a statistical software package) but also in deciding on appropriate models, selecting inferential techniques to answer a particular question, interpreting results, and diagnosing problems.

Prerequisite Tree

  • MAT240 — Applied Statistics
  • MAT241 — Modern Statistics with Software
  • MAT243 — Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM)

Interactive Prerequisite Graph

This Course Is Also a Prerequisite For

Unofficial — For Informational Purposes Only

This site is unofficial and is intended for informational purposes only. Course requirements, transfer evaluations, catalog rules, and program requirements can change. Always confirm your academic plan with your SNHU advisor for official guidance.