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 - 22
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 kgYssaad
12
69 kgGonzález
13
63 kgTorres
14
63.5 kgSilva
15
65 kgPaulinho
16
64 kgSancho
17
61 kgFerreira
18
64 kgMatias
19
72 kgRodrigues
20
60 kgMarque
21
68 kgTrueba
22
65 kgRibeiro
23
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 kgYssaad
12
69 kgGonzález
13
63 kgTorres
14
63.5 kgSilva
15
65 kgPaulinho
16
64 kgSancho
17
61 kgFerreira
18
64 kgMatias
19
72 kgRodrigues
20
60 kgMarque
21
68 kgTrueba
22
65 kgRibeiro
23
63 kg
Weight (KG) →
Result →
72
56
1
23
| # | 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 | YSSAAD Yannis | 69 |
| 13 | GONZÁLEZ Adrián | 63 |
| 14 | TORRES Pablo | 63.5 |
| 15 | SILVA Rafael | 65 |
| 16 | PAULINHO Sérgio Miguel | 64 |
| 17 | SANCHO Hugo | 61 |
| 18 | FERREIRA José | 64 |
| 19 | MATIAS João | 72 |
| 20 | RODRIGUES João | 60 |
| 21 | MARQUE Alejandro Manuel | 68 |
| 22 | TRUEBA Alvaro | 65 |
| 23 | RIBEIRO David | 63 |