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 = -0.6 * weight + 55
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Kragh Andersen
1
72 kgȚvetcov
2
69 kgSkujiņš
3
70 kgRosskopf
4
74 kgMegías
7
63 kgRoe
9
66 kgSchumacher
10
71 kgWoods
11
62 kgKocjan
13
72 kgJones
14
64 kgRoth
15
70 kgVerschoor
16
74.5 kgTeruel
17
73 kgSmith
21
67 kgCarlsen
24
68 kgPasseron
25
73 kgVasilyev
26
70 kgJenkins
28
63 kgRathe
29
74 kgLozano
31
63 kgPlanet
32
71 kgMannion
35
58 kg
1
72 kgȚvetcov
2
69 kgSkujiņš
3
70 kgRosskopf
4
74 kgMegías
7
63 kgRoe
9
66 kgSchumacher
10
71 kgWoods
11
62 kgKocjan
13
72 kgJones
14
64 kgRoth
15
70 kgVerschoor
16
74.5 kgTeruel
17
73 kgSmith
21
67 kgCarlsen
24
68 kgPasseron
25
73 kgVasilyev
26
70 kgJenkins
28
63 kgRathe
29
74 kgLozano
31
63 kgPlanet
32
71 kgMannion
35
58 kg
Weight (KG) →
Result →
74.5
58
1
35
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRAGH ANDERSEN Asbjørn | 72 |
| 2 | ȚVETCOV Serghei | 69 |
| 3 | SKUJIŅŠ Toms | 70 |
| 4 | ROSSKOPF Joey | 74 |
| 7 | MEGÍAS Javier | 63 |
| 9 | ROE Timothy | 66 |
| 10 | SCHUMACHER Stefan | 71 |
| 11 | WOODS Michael | 62 |
| 13 | KOCJAN Jure | 72 |
| 14 | JONES Carter | 64 |
| 15 | ROTH Ryan | 70 |
| 16 | VERSCHOOR Martijn | 74.5 |
| 17 | TERUEL Eloy | 73 |
| 21 | SMITH Dion | 67 |
| 24 | CARLSEN Kirk | 68 |
| 25 | PASSERON Aurélien | 73 |
| 26 | VASILYEV Maksym | 70 |
| 28 | JENKINS Max | 63 |
| 29 | RATHE Jacob | 74 |
| 31 | LOZANO David | 63 |
| 32 | PLANET Charles | 71 |
| 35 | MANNION Gavin | 58 |