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 = -0.4 * weight + 45
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Dewulf
1
74 kgSteimle
2
73 kgHuys
3
61 kgDe Pestel
4
74 kgRüegg
6
66 kgVan Poucke
8
68 kgBais
10
66 kgColman
11
73 kgEinhorn
13
72 kgPetruš
14
64 kgMarit
15
72 kgPodlaski
16
68 kgBanaszek
17
75 kgAbu-Fares
19
67 kgŠtibingr
25
62 kgBen Moshe
26
61 kgLašinis
27
69 kgBakus
28
68 kgJakoubek
32
72 kgAniołkowski
33
68 kgPassfield
36
70 kg
1
74 kgSteimle
2
73 kgHuys
3
61 kgDe Pestel
4
74 kgRüegg
6
66 kgVan Poucke
8
68 kgBais
10
66 kgColman
11
73 kgEinhorn
13
72 kgPetruš
14
64 kgMarit
15
72 kgPodlaski
16
68 kgBanaszek
17
75 kgAbu-Fares
19
67 kgŠtibingr
25
62 kgBen Moshe
26
61 kgLašinis
27
69 kgBakus
28
68 kgJakoubek
32
72 kgAniołkowski
33
68 kgPassfield
36
70 kg
Weight (KG) →
Result →
75
61
1
36
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEWULF Stan | 74 |
| 2 | STEIMLE Jannik | 73 |
| 3 | HUYS Laurens | 61 |
| 4 | DE PESTEL Sander | 74 |
| 6 | RÜEGG Lukas | 66 |
| 8 | VAN POUCKE Aaron | 68 |
| 10 | BAIS Mattia | 66 |
| 11 | COLMAN Alex | 73 |
| 13 | EINHORN Itamar | 72 |
| 14 | PETRUŠ Jiří | 64 |
| 15 | MARIT Arne | 72 |
| 16 | PODLASKI Michał | 68 |
| 17 | BANASZEK Norbert | 75 |
| 19 | ABU-FARES Saned | 67 |
| 25 | ŠTIBINGR Matěj | 62 |
| 26 | BEN MOSHE Yuval | 61 |
| 27 | LAŠINIS Venantas | 69 |
| 28 | BAKUS Tomáš | 68 |
| 32 | JAKOUBEK Tomáš | 72 |
| 33 | ANIOŁKOWSKI Stanisław | 68 |
| 36 | PASSFIELD Charlie | 70 |