Regression and Forecasting Models for Business Applications

Catalog description

This is an applied statistics course on regression and time series models. This course is data driven and makes extensive use of statistical packages such asSAS or R. The topics covered include simple linear and multiple linear and curvilinear regression, binary and polytomous logistic regression, and time seriesmodels. The latter include moving average, autoregressive, and ARMA models. All of these topics are illustrated with business applications and other data.