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 = -0.7 * weight + 59
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
Kockelmann
1
70 kgPajur
2
78 kgVan Mechelen
3
78 kgBelletta
4
73 kgIsidore
5
67 kgHerzog
7
74 kgMorgado
8
71 kgGruel
10
70 kgSivok
12
53 kgDelle Vedove
13
73 kgNovák
15
64 kgRagilo
16
70 kgVlot
19
57 kgNordhagen
22
59 kgMarivoet
25
59 kgArrighetti
26
74 kgGroß
27
67 kgDockx
28
56 kg
1
70 kgPajur
2
78 kgVan Mechelen
3
78 kgBelletta
4
73 kgIsidore
5
67 kgHerzog
7
74 kgMorgado
8
71 kgGruel
10
70 kgSivok
12
53 kgDelle Vedove
13
73 kgNovák
15
64 kgRagilo
16
70 kgVlot
19
57 kgNordhagen
22
59 kgMarivoet
25
59 kgArrighetti
26
74 kgGroß
27
67 kgDockx
28
56 kg
Weight (KG) →
Result →
78
53
1
28
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOCKELMANN Mathieu | 70 |
| 2 | PAJUR Romet | 78 |
| 3 | VAN MECHELEN Vlad | 78 |
| 4 | BELLETTA Dario Igor | 73 |
| 5 | ISIDORE Noa | 67 |
| 7 | HERZOG Emil | 74 |
| 8 | MORGADO António | 71 |
| 10 | GRUEL Thibaud | 70 |
| 12 | SIVOK Tomáš | 53 |
| 13 | DELLE VEDOVE Alessio | 73 |
| 15 | NOVÁK Pavel | 64 |
| 16 | RAGILO Frank Aron | 70 |
| 19 | VLOT Mees | 57 |
| 22 | NORDHAGEN Jørgen | 59 |
| 25 | MARIVOET Duarte | 59 |
| 26 | ARRIGHETTI Nicolò | 74 |
| 27 | GROß Matteo | 67 |
| 28 | DOCKX Aaron | 56 |