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MAT300Applied Statistics II: Regression Analysis

Course Prerequisites ToolSNHU 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

  • MAT240Applied Statistics
  • MAT243Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM)
  • MAT241Modern Statistics with Software

This Course Is Also a Prerequisite For

Interactive Prerequisite Graph

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