The Effect of Weather on Track Performances: A Panel Data Analysis on Carolina Godiva Track Club Summer Track Races
Public Deposited- Last Modified
- February 26, 2019
- Creator
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Zhao, Weichen
- Affiliation: College of Arts and Sciences, Department of Statistics and Operations Research, Mathematical Decision Sciences Program
- Abstract
- The objective of this paper is to study of how running times are affected by weather, in particular, focusing on how temperature and dew point will have an effect on the track performances using panel data. The research technique employed in the paper is linear mixed model method, which is commonly used to model datasets where multiple individuals perform over time. The regression results and descriptive statistics indicate that more sophisticated models than linear mixed model need to be used. The coding language used in the paper is R.
- Date of publication
- spring 2015
- Keyword
- DOI
- Resource type
- Rights statement
- In Copyright
- Note
- Funding: None
- Advisor
- Smith, Richard L.
- Degree
- Bachelor of Science
- Honors level
- Highest Honors
- Degree granting institution
- University of North Carolina at Chapel Hill
- Extent
- 23
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