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 = 0.7 * weight - 30
This means that on average for every extra kilogram weight a rider loses 0.7 positions in the result.
Pérez
2
61 kgEuser
3
56 kgMancebo
4
64 kgMoreno
6
59 kgPalomares
7
56 kgMegías
8
63 kgSevilla
12
62 kgMarczyński
14
70 kgRibeiro
15
59 kgBonilla
16
73 kgFrischkorn
18
68 kgCardoso
20
70 kgDuggan
21
60 kgLobato
23
64 kgCozza
25
70 kgRangel
28
63 kgLacombe
30
81 kgRoutley
33
69 kgMeier
34
61 kgVogondy
35
62 kg
2
61 kgEuser
3
56 kgMancebo
4
64 kgMoreno
6
59 kgPalomares
7
56 kgMegías
8
63 kgSevilla
12
62 kgMarczyński
14
70 kgRibeiro
15
59 kgBonilla
16
73 kgFrischkorn
18
68 kgCardoso
20
70 kgDuggan
21
60 kgLobato
23
64 kgCozza
25
70 kgRangel
28
63 kgLacombe
30
81 kgRoutley
33
69 kgMeier
34
61 kgVogondy
35
62 kg
Weight (KG) →
Result →
81
56
2
35
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PÉREZ Santiago | 61 |
| 3 | EUSER Lucas | 56 |
| 4 | MANCEBO Francisco | 64 |
| 6 | MORENO Daniel | 59 |
| 7 | PALOMARES Adrián | 56 |
| 8 | MEGÍAS Javier | 63 |
| 12 | SEVILLA Óscar | 62 |
| 14 | MARCZYŃSKI Tomasz | 70 |
| 15 | RIBEIRO Nuno | 59 |
| 16 | BONILLA José Adrián | 73 |
| 18 | FRISCHKORN William | 68 |
| 20 | CARDOSO Filipe | 70 |
| 21 | DUGGAN Timothy | 60 |
| 23 | LOBATO Rubén | 64 |
| 25 | COZZA Steven | 70 |
| 28 | RANGEL Hector Hugo | 63 |
| 30 | LACOMBE Keven | 81 |
| 33 | ROUTLEY Will | 69 |
| 34 | MEIER Christian | 61 |
| 35 | VOGONDY Nicolas | 62 |