A Sport Model for Predicting the Sprint Time for Winning 200m Race of a Summer Olympic Games
M. O. Ogofotha *
Department of Mathematics and Statistics, Federal University Wukari, Nigeria.
O. D. Ogwumu
Department of Mathematics and Statistics, Federal University Wukari, Nigeria.
M. A. Nwaokolo
Department of Mathematics and Statistics, Federal University Wukari, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
Olympic Games are leading international sporting events featuring track and field events. Beyond this, it has a positive connection with the mental health of an individual and it fosters peace and justice. Thus, this research proposed a sports model for predicting the sprint time (in seconds) to win the Olympics 200m race. Parameters such as age, weight, height and event year were considered in the formulation of the model using the principle of algebra. A dataset of gold medallists for the summer Olympic Games was obtained and computer software was developed for the model. To this end, the model was validated using some suitable statistical techniques such as Root Mean Square Error (RMSE) and the Correlation Coefficient. The results for RMSE and the Correlation Coefficient are 0.5794, and 84.38% respectively. These however indicate our model predictions have a higher degree of agreement with the actual data and it forms a reasonable guide for predictive training, and sprint time forecast.
Keywords: Prediction, olympic games, track event, sprint time