| Abstract | Glavni cilj ovog diplomskog rada je utvrditi postoji li povezanost između natjecateljskih rezultata i varijabli tjelesne visine, tjelesne težine, indeksa tjelesne mase te dobi ispitanica. Uzorak ispitanica predstavljaju rezultati 100 najboljih trkačica na tablicama svih vremena IAAF-a i 10 najboljih hrvatskih trkačica svih vremena po tablicama HAS-a. Uzorak varijabli čine: natjecateljski rezultati u disciplinama: 800 m, 1500 m, 3000 m, 3000 m zapreke, 5000 m, 10000 m te maratonu; starost, rezultat, visina tijela, masa tijela ispitanica te je iz njih izračunat postotak indeksa tjelesne mase (ITM). Za analizu rezultata korištena je osnovna deskriptivna statistika i multipla regresijska analiza. Rezultati pokazuju da se statistički značajna povezanost analiziranih parametara dobila kod trkačica najuspješnijih u svijetu u disciplinama 1500 (R=0,33) i 5000 m (R=0,33). Analizirajući parcijalne koeficijente korelacije ta se povezanost najviše vidi u varijablama visine i dobi ispitanica u disciplini 1500 m te visine i težine u diciplini 5000 m. |
| Abstract (english) | The main aim of this graduate thesis is to determine whether BMI values, body height, body weight, and age cause differences in results. The test sample of athletes represents the results of the one-hundred best runners of all time according to the International Association of Athletics Federations’ (IAAF) statistics, and the ten best runners of all time according to the Croatian Athletic Federation’s (HAS) tables. The research was conducted in middle and long distances: 800 m, 1500 m, 3000 m, 3000 m steeplechase, 5000 m, 10000 m, and the marathon. The variable pattern consists of age, result, body height, body mass and the body mass index (BMI). The above-mentioned morphological measures are taken from the IAAF official website, while for the Croatian competitors, the information is obtained through personal contact. In both cases, these results refer to each athlete’s most successful competitive period. The data was processed in the Statistics 13.3 program at the Faculty of Kinesiology at the University of Zagreb, and descriptive statistics and multiple regression analysis were used to analyze the results. The results show that a statistically significant correlation of the analyzed parameters exist between the most successful runners in the world in the 1500 (R = 0.33) and 5000 m (R = 0.33) disciplines. By analyzing the partial correlation coefficients, this correlation is most evident in the height and age variables in the 1500 m, and height and weight variables in the 5000 m. |
