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 = 0.1 * weight + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
de la Fuente
1
67 kgCasimiro
2
62 kgBrandão
3
64 kgFerreira
4
64 kgCarvalho
5
62 kgNeves
6
61 kgBenta
7
60 kgOostra
8
68 kgUdondo
9
69 kgCeli
10
76 kgScheulen
11
73 kgFigueiredo
12
56 kgMendes
13
64 kgBarbio
16
61 kgRodrigues
17
60 kgSessler
18
58 kgFerrari
21
64 kgGarcía
22
68 kgRodríguez
23
70 kg
1
67 kgCasimiro
2
62 kgBrandão
3
64 kgFerreira
4
64 kgCarvalho
5
62 kgNeves
6
61 kgBenta
7
60 kgOostra
8
68 kgUdondo
9
69 kgCeli
10
76 kgScheulen
11
73 kgFigueiredo
12
56 kgMendes
13
64 kgBarbio
16
61 kgRodrigues
17
60 kgSessler
18
58 kgFerrari
21
64 kgGarcía
22
68 kgRodríguez
23
70 kg
Weight (KG) →
Result →
76
56
1
23
# | Rider | Weight (KG) |
---|---|---|
1 | DE LA FUENTE David | 67 |
2 | CASIMIRO Henrique | 62 |
3 | BRANDÃO Joni | 64 |
4 | FERREIRA José | 64 |
5 | CARVALHO Antonio | 62 |
6 | NEVES José | 61 |
7 | BENTA João | 60 |
8 | OOSTRA Folkert | 68 |
9 | UDONDO Gotzon | 69 |
10 | CELI Abe | 76 |
11 | SCHEULEN Marvin | 73 |
12 | FIGUEIREDO Frederico | 56 |
13 | MENDES José | 64 |
16 | BARBIO António | 61 |
17 | RODRIGUES David Miguel Costa | 60 |
18 | SESSLER Nícolas | 58 |
21 | FERRARI Fabricio | 64 |
22 | GARCÍA Ricardo | 68 |
23 | RODRÍGUEZ Sergio | 70 |