Poster Title

Multivariate Analysis of Vehicle Safety

Institution

Morehead State University

Abstract

Vehicle safety affects our lives daily. There are many elaborate crash tests executed annually to test the safety of automobiles, however, the following research sets out to examine if there are simpler, less expensive (yet uncompromising) methods to determine a vehicles safety standing by using simple automotive measurements. Using the software program MiniTab along with the statistical methods of Principal Components Analysis and Discriminant Analysis, many popular cars are analyzed and then assigned a rating according to a derived classification rule. These multivariate techniques (PCA and DA) aim to reduce dimensionality of the variables and then to classify the automobiles into a rating category ranging from one star to five stars. This information could be very useful to both the automotive industry as well as the general consumer.

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Multivariate Analysis of Vehicle Safety

Vehicle safety affects our lives daily. There are many elaborate crash tests executed annually to test the safety of automobiles, however, the following research sets out to examine if there are simpler, less expensive (yet uncompromising) methods to determine a vehicles safety standing by using simple automotive measurements. Using the software program MiniTab along with the statistical methods of Principal Components Analysis and Discriminant Analysis, many popular cars are analyzed and then assigned a rating according to a derived classification rule. These multivariate techniques (PCA and DA) aim to reduce dimensionality of the variables and then to classify the automobiles into a rating category ranging from one star to five stars. This information could be very useful to both the automotive industry as well as the general consumer.