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Linear regression analysis in Python

January 22 @ 2:00 pm - 4:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

This workshop will cover regression analysis using linear models and least squares in Python.  We will discuss the goals and main use-cases for linear regression, and how to interpret a fitted linear model.  We will then discuss methods for fitting more complex models with larger data sets, including the use of interactions, dummy-coding of categorical variables, and splines.  Finally we will discuss some aspects of statistical inference and model selection for linear regression. Several case studies using open data sets will be used to illustrate the approaches.  

Participants should bring a laptop if they want to work with the examples during the presentation, but this is optional.

Details

Date:
January 22
Time:
2:00 pm - 4:00 pm
Event Category:

Venue

Rackham Building, Earl Lewis Room, 3rd Floor East
915 E. Washington St.
Ann Arbor, MI 48109 United States

Organizer

CSCAR
Email:
cscar@umich.edu
Website:
cscar.research.umich.edu

Other

Register
Presenter(s)
Kerby Shedden