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 + 39
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Wippert
1
75 kgMancebo
2
64 kgClarke
3
81 kgToribio
4
64 kgHatanaka
6
72 kgNakane
7
55 kgHaedo
10
64 kgGarcía
11
68 kgPrades
12
56 kgMonier
14
75 kgCrawford
15
59 kgLebas
16
65 kgChtioui
17
82 kgIribe
19
61 kgNorris
20
67 kgSuzuki
21
57 kgMasuda
24
63 kgAbe
25
66 kgKoishi
26
62 kgPujol
31
58 kg
1
75 kgMancebo
2
64 kgClarke
3
81 kgToribio
4
64 kgHatanaka
6
72 kgNakane
7
55 kgHaedo
10
64 kgGarcía
11
68 kgPrades
12
56 kgMonier
14
75 kgCrawford
15
59 kgLebas
16
65 kgChtioui
17
82 kgIribe
19
61 kgNorris
20
67 kgSuzuki
21
57 kgMasuda
24
63 kgAbe
25
66 kgKoishi
26
62 kgPujol
31
58 kg
Weight (KG) →
Result →
82
55
1
31
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WIPPERT Wouter | 75 |
| 2 | MANCEBO Francisco | 64 |
| 3 | CLARKE Will | 81 |
| 4 | TORIBIO José Vicente | 64 |
| 6 | HATANAKA Yusuke | 72 |
| 7 | NAKANE Hideto | 55 |
| 10 | HAEDO Lucas Sebastián | 64 |
| 11 | GARCÍA Ricardo | 68 |
| 12 | PRADES Benjamín | 56 |
| 14 | MONIER Damien | 75 |
| 15 | CRAWFORD Jai | 59 |
| 16 | LEBAS Thomas | 65 |
| 17 | CHTIOUI Rafaâ | 82 |
| 19 | IRIBE Shotaro | 61 |
| 20 | NORRIS Lachlan | 67 |
| 21 | SUZUKI Yuzuru | 57 |
| 24 | MASUDA Nariyuki | 63 |
| 25 | ABE Takayuki | 66 |
| 26 | KOISHI Yuma | 62 |
| 31 | PUJOL Óscar | 58 |