Streamlining performance prediction: data-driven KPIs in all swimming strokes

BMC Research Notes

Table 1 The two principal components (PCs) of the Varimax rotated component matrix for all swimming strokes and their explained variance

Cells marked with *** represent variables that did not have high covariances and therefore were not included in the PCA, but were included in the subsequent stepwise linear regression. For better visualisation, only component loadings ≤ − 0.7 or ≥ 0.7 are displayed. Bold figures indicate the strongest component loading (those with the highest correlation to the principal component) and the metric that was retained to be used within the subsequent stepwise linear regression. FR Freestyle, BA Backstroke; BR Breaststroke, BU Butterfly

ISSN: 1756-0500