Published under: forecasting, data analysis, Predictive analytics, Titanic Sinking, Regression

Would you have survived the sinking of the Titanic?

In this webinar Dr. Neil Polhemus explores the question many of us have wondered at some point or another (most likely the first, or 12th, time you saw Leonardo DiCaprio and Kate Winslet being serenaded by James Horner as they sailed acrosse the Atlantic), "would I have survived the Titanic?"

Unfortunatly for me at least, the answer is (for a non-wealthy young male) a pretty resounding no...

But you may be different! Let Dr. Polhemus show you whether you would have made it or suffered the fate I most likely would have! 

So, before you settle in to watch the webinar, take a second and download the PowerPoint presentation and the sample data sets so that you can follow along and get the full experience

What we will be exploring in this webiniar:

Dr. Polhemus will examine data characterizing individuals aboard the HMS Titanic when it struck an iceberg in 1912 and sunk. It considers how the chance that individuals survived relates to their age, sex and accommodation class. The Mosaic Plot,  Multiple Correspondence Analysis and Logistic Regression procedures in Statgraphics Centurion provide interesting insights into the data. A predictive model for the probability of survival is derived from those factors.



This stunning Mosaic Plot is just a sampling of what Dr. Polhemus will be using to help predict whether you would have surved the sinking of the Titanic. 

We hope you enjoy this webinar as much as we enjoyed making it!

If you have any data sets you want to see featured on here I encourage you to contact us at

Dr. Polhemus is currently working with several useres of Centurion XVII to help demonstrate the real world applications of our software and he may just want to highlight your usage!

We would love to hear back from you about this or any other webinar, and as always, we encourage suggestions for future webinars.

I know this is asking alot but we would really appreciate it if you took a minute to fill out our QUICK online survey! It's only a few questiosn!