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 = -0.5 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Turgis
1
70 kgMeurisse
2
71 kgLecuisinier
3
65 kgBol
4
83 kgVandenbogaerde
5
77 kgGodrie
6
74 kgPacher
7
62 kgLe Gac
8
70 kgBoroš
10
69 kgŤoupalík
11
65 kgKnaup
16
61 kgHavik
17
73 kgVenturini
18
60 kgSáez
19
75 kgNieuwenhuis
20
71 kgBoudat
22
70 kgCapiot
23
69 kgManzin
24
69 kgMeiler
25
65 kgStüssi
27
68 kgGonzález
29
63 kg
1
70 kgMeurisse
2
71 kgLecuisinier
3
65 kgBol
4
83 kgVandenbogaerde
5
77 kgGodrie
6
74 kgPacher
7
62 kgLe Gac
8
70 kgBoroš
10
69 kgŤoupalík
11
65 kgKnaup
16
61 kgHavik
17
73 kgVenturini
18
60 kgSáez
19
75 kgNieuwenhuis
20
71 kgBoudat
22
70 kgCapiot
23
69 kgManzin
24
69 kgMeiler
25
65 kgStüssi
27
68 kgGonzález
29
63 kg
Weight (KG) →
Result →
83
60
1
29
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TURGIS Anthony | 70 |
| 2 | MEURISSE Xandro | 71 |
| 3 | LECUISINIER Pierre-Henri | 65 |
| 4 | BOL Cees | 83 |
| 5 | VANDENBOGAERDE Jens | 77 |
| 6 | GODRIE Stan | 74 |
| 7 | PACHER Quentin | 62 |
| 8 | LE GAC Olivier | 70 |
| 10 | BOROŠ Michael | 69 |
| 11 | ŤOUPALÍK Adam | 65 |
| 16 | KNAUP Tobias | 61 |
| 17 | HAVIK Piotr | 73 |
| 18 | VENTURINI Clément | 60 |
| 19 | SÁEZ Héctor | 75 |
| 20 | NIEUWENHUIS Joris | 71 |
| 22 | BOUDAT Thomas | 70 |
| 23 | CAPIOT Amaury | 69 |
| 24 | MANZIN Lorrenzo | 69 |
| 25 | MEILER Lukas | 65 |
| 27 | STÜSSI Colin | 68 |
| 29 | GONZÁLEZ Adrián | 63 |