Key concepts

• Ordinary least squares (OLS) (Allison, 1999)
• Partial slope (regression coefficients) (Meier et al., 2015; Allison, 1999)
• Multiple coefficient of determination R-squared (Meier et al., 2015; Allison, 1999)
• Adjusted R-squared (Meier et al., 2015)
• Dummy variable regression (Meier et al., 2015)
• Additional regression assumptions (Meier et al., 2015)
  • Model is specified correctly
  • Low multi-collinearity
• Polynomial curve fitting (Meier et al., 2015)

Before class

Required readings

• Meier, K. J., Brudney, J. L., & Bohte, J. (2015). Applied Statistics for Public and Nonprofit Administration (Ninth edition). Cengage Learning., Chapter 20 & 21
• Allison, P. D. (1999). Multiple Regression: A Primer. Pine Forge Press., Chapters 1 & 2

Recommended readings

• Cobre, A. F., Surek, M., Vilhena, R. O., Böger, B., Fachi, M. M., Momade, D. R., Tonin, F. S., Sarti, F. M., & Pontarolo, R. (2021). Influence of Foods and Nutrients on COVID-19 Recovery: A Multivariate Analysis of Data from 170 Countries Using a Generalized Linear Model. Clinical Nutrition, S0261561421001576. https://doi.org/10.1016/j.clnu.2021.03.018
• Allison, P. D. (1999). Multiple Regression: A Primer. Pine Forge Press., Chapter 3
• How to Publish Statistically Insignificant Results in Economics. Retrieved August 25, 2021, from https://blogs.worldbank.org/impactevaluations/how-publish-statistically-insignificant-results-economics

In class

Take the pre-lecture survey here.

Empirical studies as examples

TBD.