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 = 16.9 * weight - 974
This means that on average for every extra kilogram weight a rider loses 16.9 positions in the result.
Garibbo
1
57 kgZeray
3
57 kgFancellu
4
62 kgDyball
5
63 kgRaccani
6
64 kgWalsh
7
80 kgMancebo
8
64 kgQuintero
10
67 kgStewart
12
70 kgAdamietz
13
61 kgHopkins
15
74 kgBregnhøj
16
63 kgToribio
18
64 kgIshihara
19
53 kgvan Engelen
20
51 kgPlace
23
58 kgKazama
24
61 kgHonda
25
65 kgKoishi
28
62 kgĐurić
991
79 kgKuboki
991
68 kg
1
57 kgZeray
3
57 kgFancellu
4
62 kgDyball
5
63 kgRaccani
6
64 kgWalsh
7
80 kgMancebo
8
64 kgQuintero
10
67 kgStewart
12
70 kgAdamietz
13
61 kgHopkins
15
74 kgBregnhøj
16
63 kgToribio
18
64 kgIshihara
19
53 kgvan Engelen
20
51 kgPlace
23
58 kgKazama
24
61 kgHonda
25
65 kgKoishi
28
62 kgĐurić
991
79 kgKuboki
991
68 kg
Weight (KG) →
Result →
80
51
1
991
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GARIBBO Nicolò | 57 |
| 3 | ZERAY Nahom | 57 |
| 4 | FANCELLU Alessandro | 62 |
| 5 | DYBALL Benjamin | 63 |
| 6 | RACCANI Simone | 64 |
| 7 | WALSH Liam | 80 |
| 8 | MANCEBO Francisco | 64 |
| 10 | QUINTERO Leonel | 67 |
| 12 | STEWART Mark | 70 |
| 13 | ADAMIETZ Johannes | 61 |
| 15 | HOPKINS Dylan | 74 |
| 16 | BREGNHØJ Mathias | 63 |
| 18 | TORIBIO José Vicente | 64 |
| 19 | ISHIHARA Yuki | 53 |
| 20 | VAN ENGELEN Adne | 51 |
| 23 | PLACE Maxence | 58 |
| 24 | KAZAMA Shoma | 61 |
| 25 | HONDA Haruhi | 65 |
| 28 | KOISHI Yuma | 62 |
| 991 | ĐURIĆ Đorđe | 79 |
| 991 | KUBOKI Kazushige | 68 |