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 - 16
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Barbier
1
69 kgBonifazio
2
72 kgAït El Abdia
4
66 kgGlivar
5
64 kgManizabayo
6
72 kgCarstensen
7
69 kgMareczko
8
67 kgHaddi
9
63 kgBole
10
69 kgStosz
11
70 kgBarbier
12
79 kgSainbayar
13
60 kgPelegrí
14
63 kgArvanitou
17
71 kgFuentes
18
77 kgSaleh
19
70 kgVerhoeff
20
76 kgVandenbogaerde
21
77 kgAlmutaiwei
22
74 kgKhafi
23
65 kg
1
69 kgBonifazio
2
72 kgAït El Abdia
4
66 kgGlivar
5
64 kgManizabayo
6
72 kgCarstensen
7
69 kgMareczko
8
67 kgHaddi
9
63 kgBole
10
69 kgStosz
11
70 kgBarbier
12
79 kgSainbayar
13
60 kgPelegrí
14
63 kgArvanitou
17
71 kgFuentes
18
77 kgSaleh
19
70 kgVerhoeff
20
76 kgVandenbogaerde
21
77 kgAlmutaiwei
22
74 kgKhafi
23
65 kg
Weight (KG) →
Result →
79
60
1
23
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BARBIER Pierre | 69 |
| 2 | BONIFAZIO Niccolò | 72 |
| 4 | AÏT EL ABDIA Anass | 66 |
| 5 | GLIVAR Gal | 64 |
| 6 | MANIZABAYO Eric | 72 |
| 7 | CARSTENSEN Lucas | 69 |
| 8 | MARECZKO Jakub | 67 |
| 9 | HADDI Soufiane | 63 |
| 10 | BOLE Grega | 69 |
| 11 | STOSZ Patryk | 70 |
| 12 | BARBIER Rudy | 79 |
| 13 | SAINBAYAR Jambaljamts | 60 |
| 14 | PELEGRÍ Óscar | 63 |
| 17 | ARVANITOU Nikiforos | 71 |
| 18 | FUENTES Ángel | 77 |
| 19 | SALEH Mohd Harrif | 70 |
| 20 | VERHOEFF Stefan | 76 |
| 21 | VANDENBOGAERDE Jens | 77 |
| 22 | ALMUTAIWEI Mohammad | 74 |
| 23 | KHAFI Oussama | 65 |