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 = -0.5 * weight + 63
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
Sessler
1
58 kgLagab
3
63 kgVan Breussegem
5
68 kgIshihara
6
53 kgVeling
7
81 kgAlmutaiwei
8
74 kgLutz-Atkinson
9
68 kgAskari
16
73 kgAzman
17
57 kgMeijers
20
68 kgReemeijer
22
70 kgKers
23
71 kgKras
26
73 kgCariño
32
56 kgYamada
33
63 kgAmano
44
58 kgNakai
49
62 kgKazama
50
61 kgD'heygere
52
76 kgMendes
58
64 kgNieto
61
58 kgHabash
65
63 kg
1
58 kgLagab
3
63 kgVan Breussegem
5
68 kgIshihara
6
53 kgVeling
7
81 kgAlmutaiwei
8
74 kgLutz-Atkinson
9
68 kgAskari
16
73 kgAzman
17
57 kgMeijers
20
68 kgReemeijer
22
70 kgKers
23
71 kgKras
26
73 kgCariño
32
56 kgYamada
33
63 kgAmano
44
58 kgNakai
49
62 kgKazama
50
61 kgD'heygere
52
76 kgMendes
58
64 kgNieto
61
58 kgHabash
65
63 kg
Weight (KG) →
Result →
81
53
1
65
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SESSLER Nícolas | 58 |
| 3 | LAGAB Azzedine | 63 |
| 5 | VAN BREUSSEGEM Elias | 68 |
| 6 | ISHIHARA Yuki | 53 |
| 7 | VELING Quinten | 81 |
| 8 | ALMUTAIWEI Mohammad | 74 |
| 9 | LUTZ-ATKINSON Hugo | 68 |
| 16 | ASKARI Hossein | 73 |
| 17 | AZMAN Muhamad Zawawi | 57 |
| 20 | MEIJERS Jeroen | 68 |
| 22 | REEMEIJER Niels | 70 |
| 23 | KERS Koos Jeroen | 71 |
| 26 | KRAS Bram | 73 |
| 32 | CARIÑO Daniel Ven | 56 |
| 33 | YAMADA Takumi | 63 |
| 44 | AMANO Takeharu | 58 |
| 49 | NAKAI Tadaaki | 62 |
| 50 | KAZAMA Shoma | 61 |
| 52 | D'HEYGERE Gil | 76 |
| 58 | MENDES José | 64 |
| 61 | NIETO Edgar | 58 |
| 65 | HABASH Saeed | 63 |