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2019   »   Grand Prix Cycliste de Saguenay (2.2)

Stage 1   »   Jonquière  ›  Jonquière   (143.1km)
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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 = 0.6 * weight - 4

This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
# Rider Weight (KG)
2 ZIMMER Matt68
4 MILÁN Diego67
7 LEPLINGARD Antoine68
11 ROBERGE Adam72
12 ÁLVAREZ Miguel Luis60
13 SCHIZZI Vitor Zucco62
14 CÔTÉ Pier-André74
15 ROTH Ryan70
16 MCCABE Travis72
20 JUNEAU Francis67
21 DE KEIJZER Gerd72.6
23 PALAMAREK Ethan61
25 MOAZEMI Arvin70
28 GERVAIS Laurent72
29 SWIRBUL Keegan65
32 HOEHN Alex63
34 VOLLMER Andrew67
35 CONLY Lukas63
38 BEADLE Hamish64
40 ALBRECHT Jasper62
43 TIGRINE Mehdi61
47 HAIDET Lance59
50 GRANIGAN Noah76
55 HECHT Gage72
58 VAN ZYL Johann72
66 COWLEY Brendan56
80 HERNANDEZ Michael74
82 PRADO Ignacio de Jesús65
89 GEE Derek72
91 JAMIESON Adam75