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 = -0.8 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
Kragh Andersen
1
72 kgȚvetcov
2
69 kgSkujiņš
3
70 kgKocjan
6
72 kgSchumacher
7
71 kgWoods
8
62 kgRosskopf
9
74 kgMegías
13
63 kgSmith
14
67 kgRoe
15
66 kgJones
17
64 kgRoth
18
70 kgVerschoor
19
74.5 kgTeruel
20
73 kgLozano
23
63 kgCarlsen
27
68 kgPlanet
28
71 kgPasseron
29
73 kgVasilyev
30
70 kgJenkins
31
63 kgRathe
32
74 kgOrjuela
39
60 kgMannion
40
58 kg
1
72 kgȚvetcov
2
69 kgSkujiņš
3
70 kgKocjan
6
72 kgSchumacher
7
71 kgWoods
8
62 kgRosskopf
9
74 kgMegías
13
63 kgSmith
14
67 kgRoe
15
66 kgJones
17
64 kgRoth
18
70 kgVerschoor
19
74.5 kgTeruel
20
73 kgLozano
23
63 kgCarlsen
27
68 kgPlanet
28
71 kgPasseron
29
73 kgVasilyev
30
70 kgJenkins
31
63 kgRathe
32
74 kgOrjuela
39
60 kgMannion
40
58 kg
Weight (KG) →
Result →
74.5
58
1
40
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KRAGH ANDERSEN Asbjørn | 72 |
| 2 | ȚVETCOV Serghei | 69 |
| 3 | SKUJIŅŠ Toms | 70 |
| 6 | KOCJAN Jure | 72 |
| 7 | SCHUMACHER Stefan | 71 |
| 8 | WOODS Michael | 62 |
| 9 | ROSSKOPF Joey | 74 |
| 13 | MEGÍAS Javier | 63 |
| 14 | SMITH Dion | 67 |
| 15 | ROE Timothy | 66 |
| 17 | JONES Carter | 64 |
| 18 | ROTH Ryan | 70 |
| 19 | VERSCHOOR Martijn | 74.5 |
| 20 | TERUEL Eloy | 73 |
| 23 | LOZANO David | 63 |
| 27 | CARLSEN Kirk | 68 |
| 28 | PLANET Charles | 71 |
| 29 | PASSERON Aurélien | 73 |
| 30 | VASILYEV Maksym | 70 |
| 31 | JENKINS Max | 63 |
| 32 | RATHE Jacob | 74 |
| 39 | ORJUELA Fernando | 60 |
| 40 | MANNION Gavin | 58 |