APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITY
Nonparametric regression is a model approach method that is used when the shape of the regression curve between the response variable and the predictor variable is assumed to have an unknown shape or pattern. One of the estimators in the nonparametric regression approach is the truncated spline whic...
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Universitas Pattimura
2024-05-01
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| Online Access: | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8854 |
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| author | Frans Karta Sayoga Sitohang Sifriyani Sifriyani Siti Mahmuda |
| author_facet | Frans Karta Sayoga Sitohang Sifriyani Sifriyani Siti Mahmuda |
| author_sort | Frans Karta Sayoga Sitohang |
| collection | DOAJ |
| description | Nonparametric regression is a model approach method that is used when the shape of the regression curve between the response variable and the predictor variable is assumed to have an unknown shape or pattern. One of the estimators in the nonparametric regression approach is the truncated spline which has the ability to handle data whose behavior changes at certain sub intervals. The purpose of this study was to obtain the estimated value of the parameters of the nonparametric regression model with a truncated spline approach at one knot point, two knot points, and three knot points for kick height data of yeop chagi taekwondo athletes in Samarinda City. The results showed that the truncated spline nonparametric regression model was the best in modeling high kick height data for yeop chagi taekwondo athletes in Samarinda City with three knot points. This model has the minimum Generalized Cross Validation (GCV) value of 7.94 with an R2 value of 94.72% and a Mean Square Error (MSE) value of 2.62. Based on the results of the model parameter significance test, it was concluded that the factors that influence the kick height of the yeop chagi taekwondo athlete in Samarinda City are flexibility, leg power, leg length, and waist circumference. |
| format | Article |
| id | doaj-art-5e8d2155ea9d43349480f9dbed70e4be |
| institution | Kabale University |
| issn | 1978-7227 2615-3017 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Universitas Pattimura |
| record_format | Article |
| series | Barekeng |
| spelling | doaj-art-5e8d2155ea9d43349480f9dbed70e4be2025-08-20T03:37:31ZengUniversitas PattimuraBarekeng1978-72272615-30172024-05-011820657066610.30598/barekengvol18iss2pp0657-06668854APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITYFrans Karta Sayoga Sitohang0Sifriyani Sifriyani1Siti Mahmuda2Statistical Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University, IndonesiaStatistical Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University, IndonesiaStatistical Study Program, Faculty of Mathematics and Natural Sciences, Mulawarman University, IndonesiaNonparametric regression is a model approach method that is used when the shape of the regression curve between the response variable and the predictor variable is assumed to have an unknown shape or pattern. One of the estimators in the nonparametric regression approach is the truncated spline which has the ability to handle data whose behavior changes at certain sub intervals. The purpose of this study was to obtain the estimated value of the parameters of the nonparametric regression model with a truncated spline approach at one knot point, two knot points, and three knot points for kick height data of yeop chagi taekwondo athletes in Samarinda City. The results showed that the truncated spline nonparametric regression model was the best in modeling high kick height data for yeop chagi taekwondo athletes in Samarinda City with three knot points. This model has the minimum Generalized Cross Validation (GCV) value of 7.94 with an R2 value of 94.72% and a Mean Square Error (MSE) value of 2.62. Based on the results of the model parameter significance test, it was concluded that the factors that influence the kick height of the yeop chagi taekwondo athlete in Samarinda City are flexibility, leg power, leg length, and waist circumference.https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8854gcvnonparametric regressiontruncated splineyeop chagi kick height |
| spellingShingle | Frans Karta Sayoga Sitohang Sifriyani Sifriyani Siti Mahmuda APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITY Barekeng gcv nonparametric regression truncated spline yeop chagi kick height |
| title | APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITY |
| title_full | APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITY |
| title_fullStr | APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITY |
| title_full_unstemmed | APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITY |
| title_short | APPLICATION OF NONPARAMETRIC REGRESSION SPLINE TRUNCATED FOR MODELING THE HEIGHT OF YEOP CHAGI KICKS OF TAEKWONDO ATHLETES IN SAMARINDA CITY |
| title_sort | application of nonparametric regression spline truncated for modeling the height of yeop chagi kicks of taekwondo athletes in samarinda city |
| topic | gcv nonparametric regression truncated spline yeop chagi kick height |
| url | https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/8854 |
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