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 = 0.8 * weight - 24
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Kriit
2
63 kgde Maar
3
70 kgVan den Broeck
4
69 kgSchillinger
6
72 kgVastaranta
9
63 kgRaboň
12
74 kgJurčo
13
69 kgKopeinig
18
63 kgEibegger
21
68 kgDekker
27
69 kgIngels
31
70 kgKaisen
36
82 kgIsta
41
70 kgHoogerland
42
65 kgJaniaczyk
49
68 kgBina
52
72 kgCervenka
68
70 kgFriedemann
72
75 kgBenetseder
91
65 kg
2
63 kgde Maar
3
70 kgVan den Broeck
4
69 kgSchillinger
6
72 kgVastaranta
9
63 kgRaboň
12
74 kgJurčo
13
69 kgKopeinig
18
63 kgEibegger
21
68 kgDekker
27
69 kgIngels
31
70 kgKaisen
36
82 kgIsta
41
70 kgHoogerland
42
65 kgJaniaczyk
49
68 kgBina
52
72 kgCervenka
68
70 kgFriedemann
72
75 kgBenetseder
91
65 kg
Weight (KG) →
Result →
82
63
2
91
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KRIIT Kalle | 63 |
| 3 | DE MAAR Marc | 70 |
| 4 | VAN DEN BROECK Jurgen | 69 |
| 6 | SCHILLINGER Andreas | 72 |
| 9 | VASTARANTA Jukka | 63 |
| 12 | RABOŇ František | 74 |
| 13 | JURČO Matej | 69 |
| 18 | KOPEINIG René | 63 |
| 21 | EIBEGGER Markus | 68 |
| 27 | DEKKER Thomas | 69 |
| 31 | INGELS Nick | 70 |
| 36 | KAISEN Olivier | 82 |
| 41 | ISTA Kevyn | 70 |
| 42 | HOOGERLAND Johnny | 65 |
| 49 | JANIACZYK Błażej | 68 |
| 52 | BINA Martin | 72 |
| 68 | CERVENKA Martin | 70 |
| 72 | FRIEDEMANN Matthias | 75 |
| 91 | BENETSEDER Josef | 65 |