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:
The formula for the regression line on the riders in the result is as follows:
result = 1.2 * weight - 58
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
Vastaranta
1
63 kgScheuneman
2
75 kgHoogerland
5
65 kgRoy
6
70 kgNissen
8
65 kgBreschel
9
70 kgvan Leijen
11
73 kgMonfort
14
66 kgRousseau
18
70 kgSuray
20
67 kgJurčo
22
69 kgBina
23
72 kgSchmitt
25
68 kgMaaskant
35
76 kgPedersen
38
62 kgDidier
41
68 kgIsta
60
70 kgBellemakers
67
75 kgChristensen
80
69 kg
1
63 kgScheuneman
2
75 kgHoogerland
5
65 kgRoy
6
70 kgNissen
8
65 kgBreschel
9
70 kgvan Leijen
11
73 kgMonfort
14
66 kgRousseau
18
70 kgSuray
20
67 kgJurčo
22
69 kgBina
23
72 kgSchmitt
25
68 kgMaaskant
35
76 kgPedersen
38
62 kgDidier
41
68 kgIsta
60
70 kgBellemakers
67
75 kgChristensen
80
69 kg
Weight (KG) →
Result →
76
62
1
80
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VASTARANTA Jukka | 63 |
| 2 | SCHEUNEMAN Niels | 75 |
| 5 | HOOGERLAND Johnny | 65 |
| 6 | ROY Jérémy | 70 |
| 8 | NISSEN Søren | 65 |
| 9 | BRESCHEL Matti | 70 |
| 11 | VAN LEIJEN Joost | 73 |
| 14 | MONFORT Maxime | 66 |
| 18 | ROUSSEAU Nicolas | 70 |
| 20 | SURAY Gil | 67 |
| 22 | JURČO Matej | 69 |
| 23 | BINA Martin | 72 |
| 25 | SCHMITT Michael | 68 |
| 35 | MAASKANT Martijn | 76 |
| 38 | PEDERSEN Martin | 62 |
| 41 | DIDIER Laurent | 68 |
| 60 | ISTA Kevyn | 70 |
| 67 | BELLEMAKERS Dirk | 75 |
| 80 | CHRISTENSEN Mads | 69 |