Using the Height and Shoe Size Data to Introduce Correlation and Regression

Abstract

The Height and Shoe Size dataset contains information on height (in inches), dress shoe size, and gender for 408 college students. The information was collected to provide an interesting initial example for the study of correlation and regression in a business statistics class. Students don't mind providing this information (unlike weight, about which they are often more sensitive) and seem to enjoy seeing how accurate the resulting prediction is for their particular height or shoe size. Once each semester's values are added to the file, it is posted and used for a series of assignments. We begin with correlation, move on to a series of simple linear regression assignments, and finish by incorporating a dummy variable for gender. This data set could also be used for frequency distributions, histograms, or inference.

• Indicator Variables
• Histograms
• Inference