PAM 5690 - Regression Analysis and Managerial Forecasting

Fall. 3 credits.

Prerequisite: at least one statistics course. Enrollment limited to: Sloan students only.

T. Evans.

Teaches various statistical methods for managerial decision making, with a particular emphasis on regression and forecasting. Other topics include ANOVA, correlation, confounding, interaction, and statistical process control. Emphasizes applications to health care organizations.

Outcome 1: Be able to understand basic statistical data presentations using averages, standard deviation, tstatistics, and hypothesis tests.

Outcome 2: Use bi-variate and multivariate regression analysis techniques.

Outcome 3: Use dummy variables and fixed effects to analyze cross-state data.

Outcome 4: Use dummy variables and trend variables to analyze seasonal trends and make short-run forecasts.

Outcome 5: Understand the issues of endogeneity, correlation and causation when analyzing the relationship between variables.