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 = 0.5 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
Antunes
1
58 kgFigueiredo
2
56 kgNeves
4
61 kgNocentini
5
60 kgAlarcón
6
72 kgGarcía de Mateos
7
68 kgGuerrero
8
56 kgBenta
9
60 kgBarbio
10
61 kgMestre
11
58 kgGonzález
12
63 kgTorres
13
63.5 kgSilva
14
65 kgPaulinho
15
64 kgSancho
16
61 kgFerreira
17
64 kgRodrigues
18
60 kgMarque
19
68 kgTrueba
20
65 kgRibeiro
21
63 kg
1
58 kgFigueiredo
2
56 kgNeves
4
61 kgNocentini
5
60 kgAlarcón
6
72 kgGarcía de Mateos
7
68 kgGuerrero
8
56 kgBenta
9
60 kgBarbio
10
61 kgMestre
11
58 kgGonzález
12
63 kgTorres
13
63.5 kgSilva
14
65 kgPaulinho
15
64 kgSancho
16
61 kgFerreira
17
64 kgRodrigues
18
60 kgMarque
19
68 kgTrueba
20
65 kgRibeiro
21
63 kg
Weight (KG) →
Result →
72
56
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | ANTUNES Amaro | 58 |
| 2 | FIGUEIREDO Frederico | 56 |
| 4 | NEVES José | 61 |
| 5 | NOCENTINI Rinaldo | 60 |
| 6 | ALARCÓN Raúl | 72 |
| 7 | GARCÍA DE MATEOS Vicente | 68 |
| 8 | GUERRERO Pablo | 56 |
| 9 | BENTA João | 60 |
| 10 | BARBIO António | 61 |
| 11 | MESTRE Ricardo | 58 |
| 12 | GONZÁLEZ Adrián | 63 |
| 13 | TORRES Pablo | 63.5 |
| 14 | SILVA Rafael | 65 |
| 15 | PAULINHO Sérgio Miguel | 64 |
| 16 | SANCHO Hugo | 61 |
| 17 | FERREIRA José | 64 |
| 18 | RODRIGUES João | 60 |
| 19 | MARQUE Alejandro Manuel | 68 |
| 20 | TRUEBA Alvaro | 65 |
| 21 | RIBEIRO David | 63 |