Skoči na glavni sadržaj

Izvorni znanstveni članak

Linear and non-linear correlation models of morphologic variables

Franci Ambrožič ; Fakultet za sport, Sveučilište u Ljubljani, Slovenija


Puni tekst: hrvatski pdf 1.021 Kb

str. 70-77

preuzimanja: 157

citiraj


Sažetak

In this study the adequacy of the linear correlation model was tested on a representative sample of 686 males, 19-27 years of age, by analyzing the relations between twenty-three anthropometric measures, representing four hypothetical morphological factors. The nature of the relations was analyzed using scatter diagrams, hierarchical polynomial regression analysis and Blackman's test of linearity. The analysis of 253 variable pairs gave 91 statistically significant differences between "r" and "ŋ" at a 5% significance level (theoretically there should be 12-13) and 63 at a 1% significance level (theoretically 2-3). Inclusion of quadratic and higher terms in polynomial regression gave a higher explained variance, therefore it appears that the linear model does not describe well the relationship between some of these variables. Further verification, using non-linear factor analysis, seems to be warranted. The presented findings were obtained with a sample of adult males, but they could be as valid for females, children or selected groups of the general population, such as anyone active in sports.

Ključne riječi

morphology, correlation, models, nonlinearity, adults, males

Hrčak ID:

256697

URI

https://hrcak.srce.hr/256697

Datum izdavanja:

28.4.1999.

Podaci na drugim jezicima: hrvatski

Posjeta: 681 *