ECO 391 Economics and Business Statistics, (Summer 2017, Fall 2017)
Instructor, Gatton College of Business and Economics, University of Kentucky
The course aims to equip students with valuable skills of regression analysis to solve real-life research questions. The course starts with a review of probability theory, sampling and sampling distribution, point estimate and interval estimate, and hypothesis testing. The core part of the course is regression analysis. The course will cover simple and multiple linear regression model, regression with dummy variables, and regression with non-linear relationships. Students are also required to complete an empirical project working as groups. The empirical project let students pick research topics they are interested in, find data needed to conduct the research, specify the appropriate econometric model, and analyze regression results. The goal of the project is to help students understand regression analysis and encourage them to use regression analysis whether in work or in research in the future.
Instructor, Gatton College of Business and Economics, University of Kentucky
The course aims to equip students with valuable skills of regression analysis to solve real-life research questions. The course starts with a review of probability theory, sampling and sampling distribution, point estimate and interval estimate, and hypothesis testing. The core part of the course is regression analysis. The course will cover simple and multiple linear regression model, regression with dummy variables, and regression with non-linear relationships. Students are also required to complete an empirical project working as groups. The empirical project let students pick research topics they are interested in, find data needed to conduct the research, specify the appropriate econometric model, and analyze regression results. The goal of the project is to help students understand regression analysis and encourage them to use regression analysis whether in work or in research in the future.