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2023»35th

Tour de Beauce

(2.2)
2023»Stage 4»QuébecQuébec(70km)

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 = 0.7 * weight - 12

This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
#RiderWeight (KG)
1 STITES Tyler60
3 RUSSELL Evan64
4 MILES Carson64
7 VALENTI Luke69
8 HOEHN Alex63
11 JULIEN Matisse70
13 INKSTER Eric73
15 DAL-CIN Matteo77
22 OLEJNICZAK David69
24 STEMAN Jip71
25 OLIPHANT Aidan61
28 CONLY Lukas63
29 PLAMONDON Joel72
31 COUTURE Samuel67
38 BICKMORE Cade74
40 GERVAIS Laurent72
41 MCGEOUGH Cormac76
43 KLEBAN Nick58
44 GAGNÉ Étienne64
49 WALTON Jonas68
50 JUSSAUME Tristan70
51 RAYMOND Louis67
54 ZIMMER Matt68
63 MOORE Manu62
64 SATO Marc63
67 MERSEBURG Dominik75
68 VERDIJCK Niels79
80 PELOQUIN Leonard67