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 + 56
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Van Keirsbulck
1
89 kgDémare
2
76 kgMarkus
3
75 kgDe Bie
4
65 kgTatarinov
5
67 kgSavitskiy
6
72 kgLander
7
70 kgGuillemois
8
66 kgKrauwel
21
77 kgStallaert
22
72 kgSütterlin
25
78 kgMaurelet
27
56 kgPerez
28
70 kgVan Hoecke
31
78 kgAntonini
36
75 kgTurgis
37
63 kgManakov
40
77 kgFedi
41
70 kgHavik
43
66 kgMcLay
44
72 kgRabitsch
49
69 kg
1
89 kgDémare
2
76 kgMarkus
3
75 kgDe Bie
4
65 kgTatarinov
5
67 kgSavitskiy
6
72 kgLander
7
70 kgGuillemois
8
66 kgKrauwel
21
77 kgStallaert
22
72 kgSütterlin
25
78 kgMaurelet
27
56 kgPerez
28
70 kgVan Hoecke
31
78 kgAntonini
36
75 kgTurgis
37
63 kgManakov
40
77 kgFedi
41
70 kgHavik
43
66 kgMcLay
44
72 kgRabitsch
49
69 kg
Weight (KG) →
Result →
89
56
1
49
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN KEIRSBULCK Guillaume | 89 |
| 2 | DÉMARE Arnaud | 76 |
| 3 | MARKUS Barry | 75 |
| 4 | DE BIE Sean | 65 |
| 5 | TATARINOV Gennadiy | 67 |
| 6 | SAVITSKIY Ivan | 72 |
| 7 | LANDER Sebastian | 70 |
| 8 | GUILLEMOIS Romain | 66 |
| 21 | KRAUWEL Bas | 77 |
| 22 | STALLAERT Joeri | 72 |
| 25 | SÜTTERLIN Jasha | 78 |
| 27 | MAURELET Flavien | 56 |
| 28 | PEREZ Anthony | 70 |
| 31 | VAN HOECKE Gijs | 78 |
| 36 | ANTONINI Simone | 75 |
| 37 | TURGIS Jimmy | 63 |
| 40 | MANAKOV Victor | 77 |
| 41 | FEDI Andrea | 70 |
| 43 | HAVIK Yoeri | 66 |
| 44 | MCLAY Daniel | 72 |
| 49 | RABITSCH Stephan | 69 |