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Are All Predicted Relationships Linear by Nature? A Note about Quantile Regression in Sport and Exercise Psychology (pp. 115-124) $100.00
Authors:  Andreas Ivarsson and Urban Johnson
Abstract:
Data in sport and exercise psychology research are often analyzed based on the
assumption that the relationships between two or more variables are linear in nature. But
are all relationships in sport and exercise settings linear? The aim of this paper is to: a)
discuss the potential shortcomings with using linear regression analysis, b) introduce
quantile regression analysis (Q-regression) as an alternative to linear regression, and c)
give examples of how to use Q-regression analysis in order to overcome some of the
shortcomings of linear regression analysis. A comparison between the results from a
linear regression analysis and a Q-regression analysis shows differences between the two
methods. More specifically, the independent variables in the results of the Q-regression
analysis were shown to have non-linear relationships with the dependent variable in given
examples. Researchers are encouraged to consider using Q-regression analysis in studies
where non-linear relationships could be expected. 


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Are All Predicted Relationships Linear by Nature? A Note about Quantile Regression in Sport and Exercise Psychology (pp. 115-124)