A COMPARISON OF PREDICTIVE MODELS AND HOW EFFECTIVELY THEY PREDICT FORM BASED ON THE 2011 RUGBY WORLD CUP
View/ open
Author
Perez, Alejandro
Date
2012Type
Thesis
Publisher
University of Wales Institute Cardiff
Metadata
Show full item recordAbstract
Purpose: The purpose of this study will be to successfully predict results based on specific variables. Using the Rugby World Cup 2011 as a comparison tool, the study will determine which linear regression models are more accurate. It will then be able to determine which teams are performing above their predicted ability, and which teams are inconsistent with their form.
Method: Data collected over the past five years will provide over 470 data points from which various linear regression models will be created to predict on the outcome of the games in the Rugby World Cup 2011.
Results: The different types of regression models create varying levels of accuracy in the predictions, with the most accurate model providing 89.58% of correct outcomes. This provides information that determines that teams like Fiji are underperforming greatly, while Wales are scoring +15 points a game more than expected.
Conclusion: Predictive models should be created using a large number of data points, and the number of variables should increase to improve accuracy in predictions. The models themselves can be used to determine how well teams performed in a tournament.
Collections
Related items
Showing items related by title, author, subject and abstract.
-
Prediction of VO2max in rugby players
Cocoran, Carl (University of Wales Institute Cardiff, 2008)This investigation aimed to: (i) assess the reliability of scores from an adapted 20 metre multistage fitness test (MSFT) performed on a dry turf rugby pitch, in which subjects wore studded boots, (ii) develop a calibration ... -
Validity and Reliability of the Load-Velocity Relationship to Predict the One-Repetition Maximum in Deadlift
Ruf, Ludwig; Chéry, Clément; Taylor, Kristie-Lee (Lippincott, Williams & Wilkins, 2018-03)The aim of this study was to verify the reliability and validity of using submaximal loads from the load-velocity relationship to predict the actual 1 repetition maximum (1RM) in the deadlift. Data from 11 resistance-trained ... -
The Development of a Walking Prediction Model using Social Media, in the Field of Crime Analysis
Coysh, Timothy (Cardiff Metropolitan University, 2014)Abstract – Timothy Coysh There are various methods and techniques available to predict locations based on previous locations. These techniques have been developed using spatial-temporal reasoning, however none of ...