LISA (Laboratory for Interdisciplinary Statistical Analysis) provided a series of evening short courses to help graduate students use statistics in their research. The focus of these two-hour courses was on teaching practical statistical techniques for analyzing or collecting data.

March 29, 2010:
Instructor: Dr. Eric Smith

Regression analysis is commonly used to study the relationship between a response variable and one or more explanatory variables. This course provides an introduction to simple linear regression and multiple linear regression. Topics covered include regression models, assumptions, and interpretation. Graphical methods useful for understanding relationships and checking assumptions are described and illustrated using the JMP software package.

See course page for files (

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