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2022   »   27th Premondiale Giro Toscana Int. Femminile - Memorial Michela Fanini (2.2)

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Regression line on weight and result

With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.

The formula for the regression line on the riders in the result is as follows:

result = -2.1 * weight + 161

This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
# Rider Weight (KG)
1 SKALNIAK-SÓJKA Agnieszka54
2 FIDANZA Martina60
3 KONONENKO Valeriya68
6 SHEKEL Olga58
9 NERLO Aurela65
12 STORRIE Becky58
13 VIECELI Lara59
14 PIRRONE Elena63
15 NIEDERMAIER Antonia52
20 LORENZEN Christina Bragh71
26 LEWIS Sophie67
31 STANNARD Elizabeth55
33 RAMIREZ Andrea54
41 YAROSHENKO Viktoriia60
44 MARIBO Julie Emilie60
46 BRANDT HEISEL Maja Winther52
49 COLLINELLI Sofia62
57 EKLUND Nathalie58
65 SCANDOLARA Valentina52
72 VARENYK Maryna59
92 SOLOVEY Hanna56
97 CASAGRANDA Andrea58
100 MISSIAGGIA Alessia53