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Regression Analysis with MATLAB: New Statistics Toolbox Capabilities in R2012a

Richard Willey, MathWorks

In this webinar, you will learn new R2012a-related capabilities in Statistics and Machine Learning Toolbox. MathWorks engineers will explore an enhanced interface for regression analysis including fitting, prediction, and plotting.  The interface also provides native support for dataset arrays and categorical data.  These new capabilities speed up data analysis, produce more compact and readable MATLAB code, and eliminate the requirement to manually manipulate matrices.

Product demonstrations will feature applied examples of linear, nonlinear, and logistic regression including:

• Generating predictions
• Evaluating goodness-of-fit
• Plotting fits and residuals
• Outlier detection and robust regression

View example code from this webinar here.

About the Presenter: Richard Willey is a product marketing manager at MathWorks where he focuses on MATLAB and add-on products for data analysis, Statistics, and Curve Fitting.  Prior to joining MathWorks in 2007, Richard worked at Wind River Systems and Symantec.  Richard has dual master’s in Engineering and Management from the Massachusetts Institute of Technology and a master’s degree in Economics from Indiana University.

Product Focus

  • Statistics and Machine Learning Toolbox

Recorded: 17 Apr 2012