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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Teklehaimanot
3
70 kgVichot
4
74 kgEdet
5
60 kgGaudu
6
53 kgTaaramäe
7
68 kgPeters
8
72 kgSicard
9
63 kgHoule
10
72 kgVincent
11
62 kgPérichon
12
69 kgVillegas
13
73 kgBadilatti
14
62 kgPasqualon
15
75 kgCantón
16
65 kgHirschi
18
61 kgLe Turnier
19
65 kgThalmann
20
61 kg
3
70 kgVichot
4
74 kgEdet
5
60 kgGaudu
6
53 kgTaaramäe
7
68 kgPeters
8
72 kgSicard
9
63 kgHoule
10
72 kgVincent
11
62 kgPérichon
12
69 kgVillegas
13
73 kgBadilatti
14
62 kgPasqualon
15
75 kgCantón
16
65 kgHirschi
18
61 kgLe Turnier
19
65 kgThalmann
20
61 kg
Weight (KG) →
Result →
75
53
3
20
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TEKLEHAIMANOT Daniel | 70 |
| 4 | VICHOT Arthur | 74 |
| 5 | EDET Nicolas | 60 |
| 6 | GAUDU David | 53 |
| 7 | TAARAMÄE Rein | 68 |
| 8 | PETERS Nans | 72 |
| 9 | SICARD Romain | 63 |
| 10 | HOULE Hugo | 72 |
| 11 | VINCENT Léo | 62 |
| 12 | PÉRICHON Pierre-Luc | 69 |
| 13 | VILLEGAS Juan Pablo | 73 |
| 14 | BADILATTI Matteo | 62 |
| 15 | PASQUALON Andrea | 75 |
| 16 | CANTÓN Isaac | 65 |
| 18 | HIRSCHI Marc | 61 |
| 19 | LE TURNIER Mathias | 65 |
| 20 | THALMANN Roland | 61 |