2018
2020
«
»
menu
2019»33rd

Tour of the Gila

(2.2)
2019»Stage 2»Fort BayardFort Bayard(122.6km)

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 = 0.3 * weight + 17

This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
#RiderWeight (KG)
1 MCCABE Travis72
3 HERNANDEZ Michael74
4 HOEHN Alex63
6 SWIRBUL Keegan65
9 PICCOLI James65
10 SEVILLA Óscar62
11 PAVLIČ Marko65
12 HARTIG Evan77
14 STITES Tyler60
16 BELTRÁN Edward59
17 LEPLINGARD Antoine68
20 VILLALOBOS Luis66
23 SCHUNK Conor65
24 MILLER Barry54
26 BAUSBACHER Evan59
27 ZIMMER Matt68
32 ȚVETCOV Serghei69
34 DUARTE Fabio55
35 CLARKE Jonathan68
38 GONZÁLEZ Abner60
42 GERVAIS Laurent72
50 ROBERGE Adam72
51 ROJAS Gabriel Francisco59
53 PALAMAREK Ethan61
58 ARROYO Fernando63
67 HAIDET Lance59
69 MILES Carson64
74 DANIEL Gregory64
82 CASTILLO Ulises Alfredo72
83 LANGE Colby72
84 ARNOPOL Richard61
92 ROBERTS Rex75