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 kgVan Mechelen
2
78 kgPajur
3
78 kgHerzog
4
74 kgMorgado
5
71 kgIsidore
7
67 kgBelletta
8
73 kgGruel
9
70 kgNordhagen
11
59 kgRagilo
12
70 kgVlot
15
57 kgSivok
16
53 kgDelle Vedove
17
73 kgNovák
18
64 kgGroß
23
67 kgBárta
24
67 kgMarivoet
25
59 kgArrighetti
26
74 kgTavares
27
58 kgDockx
28
56 kg
1
70 kgVan Mechelen
2
78 kgPajur
3
78 kgHerzog
4
74 kgMorgado
5
71 kgIsidore
7
67 kgBelletta
8
73 kgGruel
9
70 kgNordhagen
11
59 kgRagilo
12
70 kgVlot
15
57 kgSivok
16
53 kgDelle Vedove
17
73 kgNovák
18
64 kgGroß
23
67 kgBárta
24
67 kgMarivoet
25
59 kgArrighetti
26
74 kgTavares
27
58 kgDockx
28
56 kg
Weight (KG) →
Result →
78
53
1
28
# | Rider | Weight (KG) |
---|---|---|
1 | KOCKELMANN Mathieu | 70 |
2 | VAN MECHELEN Vlad | 78 |
3 | PAJUR Romet | 78 |
4 | HERZOG Emil | 74 |
5 | MORGADO António | 71 |
7 | ISIDORE Noa | 67 |
8 | BELLETTA Dario Igor | 73 |
9 | GRUEL Thibaud | 70 |
11 | NORDHAGEN Jørgen | 59 |
12 | RAGILO Frank Aron | 70 |
15 | VLOT Mees | 57 |
16 | SIVOK Tomáš | 53 |
17 | DELLE VEDOVE Alessio | 73 |
18 | NOVÁK Pavel | 64 |
23 | GROß Matteo | 67 |
24 | BÁRTA Martin | 67 |
25 | MARIVOET Duarte | 59 |
26 | ARRIGHETTI Nicolò | 74 |
27 | TAVARES Gonçalo | 58 |
28 | DOCKX Aaron | 56 |