ECON 330 Regression Analysis

3 semester hours

Analysis of the linear regression model and its practical applications in economics, finance, marketing, and other areas of business. Material covered will be the two variable model, hypothesis testing, forecasting, functional forms of regression models, regression using dummy explanatory variables, multiple regression, autocorrelation, heteroscedasticity and multicollinearity. Emphasis is placed on the application of the techniques covered in the course to the solution of real world problems.

Prerequisites: ECON 110 and ECON 120 (or ECON 105 ) and ECON 230 .