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 = -0.3 * weight + 47
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
Van Breussegem
1
68 kgLagab
2
63 kgSessler
3
58 kgVeling
5
81 kgMeijers
8
68 kgAlmutaiwei
9
74 kgIshihara
10
53 kgYamada
13
63 kgKras
14
73 kgReemeijer
16
70 kgLutz-Atkinson
18
68 kgAzman
21
57 kgAskari
27
73 kgCariño
29
56 kgKers
35
71 kgMendes
45
64 kgAmano
46
58 kgNakai
51
62 kgNieto
55
58 kgD'heygere
56
76 kgKazama
63
61 kgHabash
66
63 kgBat-Erdene
67
73 kg
1
68 kgLagab
2
63 kgSessler
3
58 kgVeling
5
81 kgMeijers
8
68 kgAlmutaiwei
9
74 kgIshihara
10
53 kgYamada
13
63 kgKras
14
73 kgReemeijer
16
70 kgLutz-Atkinson
18
68 kgAzman
21
57 kgAskari
27
73 kgCariño
29
56 kgKers
35
71 kgMendes
45
64 kgAmano
46
58 kgNakai
51
62 kgNieto
55
58 kgD'heygere
56
76 kgKazama
63
61 kgHabash
66
63 kgBat-Erdene
67
73 kg
Weight (KG) →
Result →
81
53
1
67
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN BREUSSEGEM Elias | 68 |
| 2 | LAGAB Azzedine | 63 |
| 3 | SESSLER Nícolas | 58 |
| 5 | VELING Quinten | 81 |
| 8 | MEIJERS Jeroen | 68 |
| 9 | ALMUTAIWEI Mohammad | 74 |
| 10 | ISHIHARA Yuki | 53 |
| 13 | YAMADA Takumi | 63 |
| 14 | KRAS Bram | 73 |
| 16 | REEMEIJER Niels | 70 |
| 18 | LUTZ-ATKINSON Hugo | 68 |
| 21 | AZMAN Muhamad Zawawi | 57 |
| 27 | ASKARI Hossein | 73 |
| 29 | CARIÑO Daniel Ven | 56 |
| 35 | KERS Koos Jeroen | 71 |
| 45 | MENDES José | 64 |
| 46 | AMANO Takeharu | 58 |
| 51 | NAKAI Tadaaki | 62 |
| 55 | NIETO Edgar | 58 |
| 56 | D'HEYGERE Gil | 76 |
| 63 | KAZAMA Shoma | 61 |
| 66 | HABASH Saeed | 63 |
| 67 | BAT-ERDENE Narankhuu | 73 |