Course Topics

This short course is intended to provide basic knowledge to graduate students outside the field of statistics to intimate them with the methods and approaches of the classical regression model.

Topics covered include linear regression, multiple regression, and multicolinearity using correlation and the variance inflation factor. Others topics include R, R2, Adjusted R2, interpretation of the model, and model selection. Graphical methods useful for understanding relationships and checking assumptions are described and illustrated using SPSS package.

Data on some economic indicators like GDP, External Reserve, Money Supply, Exchange Rate, External Debt and Capital Expenditure obtained from the Central Bank of Nigerian (CBN) Bulletin(2009) will be used to demonstrate these concepts. The course will involve both lecture and computer lab components.

LISA Short Course: Regression Methods from LISA on Vimeo.