Reading materials | Weekly Q&A | Lecture notes

Key concepts

  • Partial slope (regression coefficients)
  • Adjusted R-squared
  • Regression with categorical variables
  • Additional regression assumptions
    • Model is specified correctly
    • Low multi-collinearity
  • Polynomial curve fitting

Before class

Required readings

  • Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Multiple Regression. In Applied Statistics for Public and Nonprofit Administration.
  • Meier, K. J., Brudney, J. L., & Bohte, J. (2014). Regression Output and Data Management. In Applied Statistics for Public and Nonprofit Administration.

In class

  • Lecture on key concepts
  • In class practice
    • Paper practice
    • In-class practice
  • Assignment catch-up: Quali. group project - Proposal (final).

After class