PREV
NEXT
2017
2019

2018   »   14th The Larry H.Miller Tour of Utah (2.HC)

Stage 3   »   Antelope Island  ›  Layton City   (188km)
2018 | Stage 3
Antelope Island › Layton City (188km)
menu

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 = -0.1 * weight + 21

This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
# Rider Weight (KG)
1 MCCABE Travis72
2 ÁVILA Edwin61
3 CASTILLO Ulises Alfredo72
4 POWLESS Neilson67
5 KUSS Sepp61
6 MURPHY Kyle67
7 PHILIPSEN Jasper75
8 BOOKWALTER Brent70
9 WOODS Michael62
10 CIMA Damiano70
11 VILLALOBOS Luis66
12 REIJNEN Kiel63
13 HERMANS Ben72
15 CLARKE Jonathan68
17 CÔTÉ Pier-André74
19 HAIG Jack67
20 HUFFMAN Evan71
21 PONZI Simone63
22 MCGEOUGH Cormac76
24 MANNION Gavin58
25 BOUWMAN Koen60
26 SWIRBUL Keegan65
27 OLIVIER Daan64
29 SCHREURS Hamish69
30 HERNANDEZ Michael74