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 + 83
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
D'heygere
2
76 kgMeijers
3
68 kgVeling
6
81 kgLutz-Atkinson
7
68 kgAzman
12
57 kgLagab
13
63 kgIshihara
20
53 kgSessler
22
58 kgKers
25
71 kgAlmutaiwei
26
74 kgReemeijer
30
70 kgAskari
31
73 kgYamada
35
63 kgNakai
42
62 kgNieto
44
58 kgCariño
45
56 kgVan Breussegem
53
68 kgAmano
55
58 kgHabash
56
63 kgKazama
61
61 kgKras
66
73 kgMendes
68
64 kg
2
76 kgMeijers
3
68 kgVeling
6
81 kgLutz-Atkinson
7
68 kgAzman
12
57 kgLagab
13
63 kgIshihara
20
53 kgSessler
22
58 kgKers
25
71 kgAlmutaiwei
26
74 kgReemeijer
30
70 kgAskari
31
73 kgYamada
35
63 kgNakai
42
62 kgNieto
44
58 kgCariño
45
56 kgVan Breussegem
53
68 kgAmano
55
58 kgHabash
56
63 kgKazama
61
61 kgKras
66
73 kgMendes
68
64 kg
Weight (KG) →
Result →
81
53
2
68
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | D'HEYGERE Gil | 76 |
| 3 | MEIJERS Jeroen | 68 |
| 6 | VELING Quinten | 81 |
| 7 | LUTZ-ATKINSON Hugo | 68 |
| 12 | AZMAN Muhamad Zawawi | 57 |
| 13 | LAGAB Azzedine | 63 |
| 20 | ISHIHARA Yuki | 53 |
| 22 | SESSLER Nícolas | 58 |
| 25 | KERS Koos Jeroen | 71 |
| 26 | ALMUTAIWEI Mohammad | 74 |
| 30 | REEMEIJER Niels | 70 |
| 31 | ASKARI Hossein | 73 |
| 35 | YAMADA Takumi | 63 |
| 42 | NAKAI Tadaaki | 62 |
| 44 | NIETO Edgar | 58 |
| 45 | CARIÑO Daniel Ven | 56 |
| 53 | VAN BREUSSEGEM Elias | 68 |
| 55 | AMANO Takeharu | 58 |
| 56 | HABASH Saeed | 63 |
| 61 | KAZAMA Shoma | 61 |
| 66 | KRAS Bram | 73 |
| 68 | MENDES José | 64 |