Exploring the Titanic Accident: Investigating its Impact on Marine Tourism

Cunha, Maria Nascimento and Figueiredo, Jorge and Oliveira, Isabel and Manuel, Macaes, (2024) Exploring the Titanic Accident: Investigating its Impact on Marine Tourism. In: Research and Applications Towards Mathematics and Computer Science Vol. 9. B P International, pp. 13-33. ISBN 978-81-970187-9-4

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Abstract

Since that fateful and chilly dawn of April 15, 1912, the world has witnessed the construction of larger ships, some already dismantled or lying, solitary, in the darkness of the bottom of the oceans and others still in circulation. However, no other ship has become as famous and significant for popular naval and imaginary history as the Royal Mail Ship Titanic. The RMS Titanic joined the imagination of the navy, literature, and cinema. It fed the dreams and nightmares of generations, from the one from 1912 who was perplexed to receive the news of the disaster to the present generation that has it in the ambivalence of an engineering feat of its time, as well as a fruit of the arrogance of its creators.

Its history is known to all and its data is used in many studies. It should be mentioned that these data are composed of records of various variables and various natures. In addition, they are easily generalizable to several other situations.

In this study, the researchers will make use of the regression models. This model is one of the most important statistical tools in data analysis when the objective is to study relationships between variables, or more particularly, to analyze the influence that one or more variables (explanatory variables) may have on a variable of interest (response variable).

The purpose of this study is to describe in detail the construction of this type of model using a dataset on the Titanic tragedy. Not forgetting the limitations. Understanding these limitations is crucial for making informed decisions about when and how to use linear regression and when alternative methods might be more appropriate.

Item Type: Book Section
Subjects: Pustaka Library > Mathematical Science
Depositing User: Unnamed user with email support@pustakalibrary.com
Date Deposited: 07 Feb 2024 05:41
Last Modified: 07 Feb 2024 05:41
URI: http://archive.bionaturalists.in/id/eprint/2234

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