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 = 0.2 * weight + 1
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Schlegel
3
72 kgRohde
4
75 kgSchormair
6
64 kgGarcía Cortina
7
77 kgCavagna
8
78 kgShumov
9
65 kgKalojíros
10
68 kgKukrle
11
73 kgSchreurs
12
69 kgGrabis
15
75 kgHenn
17
64 kgKessler
18
78 kgCastrique
20
81 kgWsol
21
71 kgKasperkiewicz
23
67 kgSoballa
29
71 kgBeniušis
31
85 kgWouters
32
75 kgRyba
33
70 kgVerwilst
36
68 kg
3
72 kgRohde
4
75 kgSchormair
6
64 kgGarcía Cortina
7
77 kgCavagna
8
78 kgShumov
9
65 kgKalojíros
10
68 kgKukrle
11
73 kgSchreurs
12
69 kgGrabis
15
75 kgHenn
17
64 kgKessler
18
78 kgCastrique
20
81 kgWsol
21
71 kgKasperkiewicz
23
67 kgSoballa
29
71 kgBeniušis
31
85 kgWouters
32
75 kgRyba
33
70 kgVerwilst
36
68 kg
Weight (KG) →
Result →
85
64
3
36
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | SCHLEGEL Michal | 72 |
| 4 | ROHDE Leon | 75 |
| 6 | SCHORMAIR Fabian | 64 |
| 7 | GARCÍA CORTINA Iván | 77 |
| 8 | CAVAGNA Rémi | 78 |
| 9 | SHUMOV Nikolai | 65 |
| 10 | KALOJÍROS Tomáš | 68 |
| 11 | KUKRLE Michael | 73 |
| 12 | SCHREURS Hamish | 69 |
| 15 | GRABIS Mateusz | 75 |
| 17 | HENN Luca | 64 |
| 18 | KESSLER Robert | 78 |
| 20 | CASTRIQUE Jonas | 81 |
| 21 | WSOL Damian | 71 |
| 23 | KASPERKIEWICZ Maciej | 67 |
| 29 | SOBALLA Carl | 71 |
| 31 | BENIUŠIS Justas | 85 |
| 32 | WOUTERS Enzo | 75 |
| 33 | RYBA Jan | 70 |
| 36 | VERWILST Aaron | 68 |