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 - 17
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Vingegaard
1
58 kgSchönberger
2
64 kgGavazzi
3
65 kgGuerreiro
4
65 kgArrieta
5
64 kgValter
6
65 kgFernández
7
69 kgHerrada
8
70 kgMolenaar
9
63 kgBais
10
66 kgFortunato
11
57 kgVelasco
12
59 kgHerrada
13
65 kgGarcía
14
67 kgRivi
15
72 kgMoscon
16
71 kgEtxeberria
17
65 kg
1
58 kgSchönberger
2
64 kgGavazzi
3
65 kgGuerreiro
4
65 kgArrieta
5
64 kgValter
6
65 kgFernández
7
69 kgHerrada
8
70 kgMolenaar
9
63 kgBais
10
66 kgFortunato
11
57 kgVelasco
12
59 kgHerrada
13
65 kgGarcía
14
67 kgRivi
15
72 kgMoscon
16
71 kgEtxeberria
17
65 kg
Weight (KG) →
Result →
72
57
1
17
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VINGEGAARD Jonas | 58 |
| 2 | SCHÖNBERGER Sebastian | 64 |
| 3 | GAVAZZI Francesco | 65 |
| 4 | GUERREIRO Ruben | 65 |
| 5 | ARRIETA Igor | 64 |
| 6 | VALTER Attila | 65 |
| 7 | FERNÁNDEZ Delio | 69 |
| 8 | HERRADA Jesús | 70 |
| 9 | MOLENAAR Alex | 63 |
| 10 | BAIS Mattia | 66 |
| 11 | FORTUNATO Lorenzo | 57 |
| 12 | VELASCO Simone | 59 |
| 13 | HERRADA José | 65 |
| 14 | GARCÍA José María | 67 |
| 15 | RIVI Samuele | 72 |
| 16 | MOSCON Gianni | 71 |
| 17 | ETXEBERRIA Josu | 65 |