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 - 29
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
17
68 kgDuggan
19
60 kgLobato
21
64 kgCardoso
22
70 kgCozza
23
70 kgLacombe
26
81 kgRoutley
29
69 kgMeier
30
61 kgVogondy
31
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
17
68 kgDuggan
19
60 kgLobato
21
64 kgCardoso
22
70 kgCozza
23
70 kgLacombe
26
81 kgRoutley
29
69 kgMeier
30
61 kgVogondy
31
62 kg
Weight (KG) →
Result →
81
56
2
31
| # | 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 |
| 17 | FRISCHKORN William | 68 |
| 19 | DUGGAN Timothy | 60 |
| 21 | LOBATO Rubén | 64 |
| 22 | CARDOSO Filipe | 70 |
| 23 | COZZA Steven | 70 |
| 26 | LACOMBE Keven | 81 |
| 29 | ROUTLEY Will | 69 |
| 30 | MEIER Christian | 61 |
| 31 | VOGONDY Nicolas | 62 |