Live Webinar

Is a Logistic Regression Model Still Useful for Business Applications?

Join this webinar to learn how a logistic regression model can be used to make predictions.

September 15 • 11 a.m. ET • 5 p.m. CET • Cost: Complimentary

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About the webinar

Using models for predictive purposes is paramount for data scientists. We’ll cover how to use a logistic regression model for predictive purposes, as well as how logistic regression models can be interpreted.

You will learn how to:

  • Use a logistic regression model to make predictions.
  • Develop the best logistic regression model possible – one that can be generalized to new data.
  • Build a logistic regression model using SAS Model Studio.

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About the expert


Jeff Thompson

Senior Analytical Training Consultant, SAS

Jeff holds a master’s degree from the University of Central Florida and a PhD in statistics from the University of Florida. Before joining SAS in 2010, he was an associate professor in the Department of Statistics at North Carolina State University. He currently teaches machine learning, advanced predictive modeling, text analytics, model operations and other data science applications.

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