scholarly journals Prediction intervals for regression models

2007 ◽  
Vol 51 (6) ◽  
pp. 3115-3122 ◽  
Author(s):  
David J. Olive
2019 ◽  
Vol 11 (2) ◽  
pp. 201-213
Author(s):  
Kingsley Adjenughwure ◽  
Basil Papadopoulos

Author(s):  
Taeho Kim ◽  
Benjamin Lieberman ◽  
George Luta ◽  
Edsel A. Peña

Author(s):  
Karl Schmedders ◽  
Charlotte Snyder ◽  
Sophie Tinz

During one of the most nerve-wracking football matches of the 2012–2013 Bundesliga season, life-long friends Franz Dully and Max Vogel begin arguing about whether the wealth of a football club determines its success during the season. In order to disprove Vogel's claim that “money scores goals,” Dully must analyze the Bundesliga's current market values, points earned, and mid-season leader data.After analyzing the case, students will be able to compute prediction intervals, develop regression models, and interpret data. The development of the regression models asks students to choose the relevant set of independent variables, as well as determine an appropriate functional form for the regression equation. The models derived have to be evaluated as well as compared to one another. Further, the students have to interpret the quantitative findings in the context of the application.


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