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 - 26
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Areruya
1
74 kgÁvila
2
61 kgPellaud
4
70 kgEyob
5
61 kgHoller
8
58 kgde Bod
11
66 kgKipkemboi
13
63 kgKangangi
17
64 kgvan Engelen
19
51 kgMusie
23
59 kgMugisha
28
62 kgLagab
31
63 kgOkubamariam
36
60 kgMansouri
39
66 kgLincoln
51
75 kgVermeulen
56
67 kgMayer
57
64 kgRougier-Lagane
59
69 kg
1
74 kgÁvila
2
61 kgPellaud
4
70 kgEyob
5
61 kgHoller
8
58 kgde Bod
11
66 kgKipkemboi
13
63 kgKangangi
17
64 kgvan Engelen
19
51 kgMusie
23
59 kgMugisha
28
62 kgLagab
31
63 kgOkubamariam
36
60 kgMansouri
39
66 kgLincoln
51
75 kgVermeulen
56
67 kgMayer
57
64 kgRougier-Lagane
59
69 kg
Weight (KG) →
Result →
75
51
1
59
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ARERUYA Joseph | 74 |
| 2 | ÁVILA Edwin | 61 |
| 4 | PELLAUD Simon | 70 |
| 5 | EYOB Metkel | 61 |
| 8 | HOLLER Nikodemus | 58 |
| 11 | DE BOD Stefan | 66 |
| 13 | KIPKEMBOI Salim | 63 |
| 17 | KANGANGI Suleiman | 64 |
| 19 | VAN ENGELEN Adne | 51 |
| 23 | MUSIE Saymon | 59 |
| 28 | MUGISHA Samuel | 62 |
| 31 | LAGAB Azzedine | 63 |
| 36 | OKUBAMARIAM Tesfom | 60 |
| 39 | MANSOURI Abderrahmane | 66 |
| 51 | LINCOLN Yannick | 75 |
| 56 | VERMEULEN Moran | 67 |
| 57 | MAYER Alexandre | 64 |
| 59 | ROUGIER-LAGANE Christopher | 69 |