Pengaruh Umur Pemain Tenis Lapangan Terhadap Ranking Dunia Di Jumlah Point Pemain Tenis Lapangan Menggunakan Metode Regresi Linear Sederhana

This study aims to analyze the relationship between the number of points scored and the age of tennis players using a simple linear regression method. Data were collected from active players, including the points they earned in matches and their ages. Simple linear regression analysis was employed to determine the extent of the linear relationship between these two variables. The results indicate a correlation between players’ age and the number of points they obtain. The regression coefficients and their statistical significance are examined to assess the strength and relevance of this relationship. Findings from this research offer deeper insights into the factors that may influence on-court performance, with a particular focus on age. The discussion covers the interpretation of results, implications for tennis coaching and management, and potential applications in training programs. Study limitations and recommendations for future research are also addressed. Ultimately, this research is expected to contribute to a better understanding of the determinants of tennis performance, especially regarding the role of age.

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Publication Details

Journal
Jurnal Riset Informatika dan Teknologi Informasi
Published
2024-08-30
DOI
https://doi.org/10.58776/jriti.v2i1.133
Primary Topic
Decision Support System Applications
Type
article
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article

Pengaruh Umur Pemain Tenis Lapangan Terhadap Ranking Dunia Di Jumlah Point Pemain Tenis Lapangan Menggunakan Metode Regresi Linear Sederhana

Ifan Gustian
Jurnal Riset Informatika dan Teknologi Informasi
Decision Support System Applications
article

Pengaruh Umur Pemain Tenis Lapangan Terhadap Ranking Dunia Di Jumlah Point Pemain Tenis Lapangan Menggunakan Metode Regresi Linear Sederhana

Ifan Gustian
article en

Abstract

This study aims to analyze the relationship between the number of points scored and the age of tennis players using a simple linear regression method. Data were collected from active players, including the points they earned in matches and their ages. Simple linear regression analysis was employed to determine the extent of the linear relationship between these two variables. The results indicate a correlation between players’ age and the number of points they obtain. The regression coefficients and their statistical significance are examined to assess the strength and relevance of this relationship. Findings from this research offer deeper insights into the factors that may influence on-court performance, with a particular focus on age. The discussion covers the interpretation of results, implications for tennis coaching and management, and potential applications in training programs. Study limitations and recommendations for future research are also addressed. Ultimately, this research is expected to contribute to a better understanding of the determinants of tennis performance, especially regarding the role of age.

Jurnal Riset Informatika dan Teknologi InformasiVol. 2(1)
Serang Raya University (ID)
Openalex Percentile: Top 50%
Decision Support System Applications
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