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LISA Statistics Short Course: Regression Methods
(Academic)
LISA SHORT COURSES IN STATISTICS
LISA (Virginia Tech's Laboratory for Interdisciplinary Statistical Analysis) is providing a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. See www.lisa.stat.vt.edu/?q=short_courses for instructions on how to REGISTER and to learn more.
Fall 2013 Schedule:
Monday & Tuesday, September 23 & 24: Basics of R;*
Monday & Tuesday, September 30 & October 1: Statistical Analysis in R;*
Monday & Tuesday, October 7 & 8: Graphing in R;*
Thursday, October 17: Survey Design and Analysis;
Thursday, October 24: Design of Experiments;
Thursday, October 31: T-tests and ANOVA;
Monday & Tuesday, November 4 & 5: Introduction to JMP;*
Tuesday, November 12: Nonparametric methods featuring the bootstrap;
Thursday, November 21: Regression Methods;
*Two sessions of the same course to accommodate more attendees.
Thursday, November 21;
Instructor: Olawale Awe;
Title: Regression Methods;
Course Information:
This short course is intended to provide basic knowledge 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.
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More information...
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540-231-8354