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Tour de l'Abitibi

(2.Ncup)
2023»Stage 1»Val-d'OrAmos(116.7km)

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 = -1.4 * weight + 126

This means that on average for every extra kilogram weight a rider loses -1.4 positions in the result.
#RiderWeight (KG)
5 BOUCHARD Alexis61
7 TRUFFER Carl73
19 MARTINS Henrique64
41 HARRIS Patrick70
42 GIAMMARELLA Adamo62
44 ST ANDRE Alex65
48 BEGIN Mathis61
59 MEDINA Joaquin64
65 GUÉRIN Étienne64