Skip to Content
Practical Predictive Analytics
book

Practical Predictive Analytics

by Ralph Winters
June 2017
Beginner to intermediate
576 pages
15h 22m
English
Packt Publishing
Content preview from Practical Predictive Analytics

Point biserial correlation

Another basic technique that you could use if one of the categories is a nominal variable with only two classes and the other variable is quantitative would be point biserial correlation. However, since this technique uses Pearsons correlation coefficient, you need to make certain assumptions about the distributions of the data. For example, the data needs to be normally distributed and have equal variance. This assumption holds for our simulated sales example, since each category is generated using the rnorm() function which simulates 2 randomly distributed data frames with different means, but identical standard deviations (variances)

To show point biserial correlation, we can use our previous sales treatment. ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Data Superstream: Analytics Engineering

Data Superstream: Analytics Engineering

Alistair Croll, Anna Filippova, Emilie Schario, Lewis Davies, Jacob Frackson, Benn Stancil, Nick Acosta, Elizabeth Caley
R: Predictive Analysis

R: Predictive Analysis

Tony Fischetti, Eric Mayor, Rui Miguel Forte
Python: Advanced Predictive Analytics

Python: Advanced Predictive Analytics

Ashish Kumar, Joseph Babcock

Publisher Resources

ISBN: 9781785886188Supplemental Content