---
title: "CTOs Corner: Would you have survived the Titanic?"
description: Use predictive analytics and regression to find out if you would have survived the sinking of the titanic
---

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Nov 4, 2015, 9:52:31 AM

## [CTOs Corner: Would you have survived the Titanic?](https://www.statgraphics.com/blog/ctos-corner-titanic-survival-regressionanalysis)

![](https://www.statgraphics.com/hs-fs/file-2017572828-jpg/website-assets/neil-polhemus.jpg?width=50&name=neil-polhemus.jpg) By: [Dr. Neil Polhemus](https://www.statgraphics.com/blog/author/dr-neil-polhemus)

 Published under: [Data analytics](https://www.statgraphics.com/blog/topic/data-analytics), [Business analytics](https://www.statgraphics.com/blog/topic/business-analytics), [Predictive analytics](https://www.statgraphics.com/blog/topic/predictive-analytics), [Business transformation](https://www.statgraphics.com/blog/topic/business-transformation), [logistic regression](https://www.statgraphics.com/blog/topic/logistic-regression)

In this [webinar](https://www.statgraphics.com/webinars) I will examine data characterizing individuals aboard the [HMS Titanic](http://www.whoi.edu/main/topic/titanic) when it struck an iceberg in 1912 and sank. It considers how the chance that individuals survived relates to their age, gender and accommodation class. The *Mosaic Plot*,  *Multiple Correspondence Analysis* and *Logistic Regression* procedures in [Statgraphics Centurion](https://www.statgraphics.com/centurion-xvii) provide interesting insights into the data. A predictive model for the probability of survival is derived from those factors.

 

If you are interested in having your work profiled in one of the upcoming webinars, please contact us at info.statgraphics.com.

You can view the full recording of this webinar at [www.statgraphics.com/webinars](https://www.statgraphics.com/webinars) after it airs live on Thursday November 5th at 11:00 am EST.<https://www.statgraphics.com/webinars>

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