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 = 1 * weight - 47
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Bou
1
62 kgFigueiredo
2
56 kgNeves
3
61 kgMurguialday
4
57 kgMachado
5
63 kgCarvalho
6
60 kgAntunes
7
55 kgMestre
8
58 kgJuaristi
9
67.5 kgSilva
10
66 kgCardoso
11
56 kgFernandes
12
63 kgBenta
13
60 kgGallego
14
62 kgAmado
15
65 kgMaté
16
68 kgMagalhães
17
63 kgHollyman
18
59 kgSoto
19
66 kgRodrigues
20
60 kgNunes
21
64 kgTrueba
22
65 kgCésar Veloso
23
69 kgAparicio
25
69 kg
1
62 kgFigueiredo
2
56 kgNeves
3
61 kgMurguialday
4
57 kgMachado
5
63 kgCarvalho
6
60 kgAntunes
7
55 kgMestre
8
58 kgJuaristi
9
67.5 kgSilva
10
66 kgCardoso
11
56 kgFernandes
12
63 kgBenta
13
60 kgGallego
14
62 kgAmado
15
65 kgMaté
16
68 kgMagalhães
17
63 kgHollyman
18
59 kgSoto
19
66 kgRodrigues
20
60 kgNunes
21
64 kgTrueba
22
65 kgCésar Veloso
23
69 kgAparicio
25
69 kg
Weight (KG) →
Result →
69
55
1
25
# | Rider | Weight (KG) |
---|---|---|
1 | BOU Joan | 62 |
2 | FIGUEIREDO Frederico | 56 |
3 | NEVES José | 61 |
4 | MURGUIALDAY Jokin | 57 |
5 | MACHADO Tiago | 63 |
6 | CARVALHO Gonçalo | 60 |
7 | ANTUNES Tiago | 55 |
8 | MESTRE Ricardo | 58 |
9 | JUARISTI Txomin | 67.5 |
10 | SILVA Joaquim | 66 |
11 | CARDOSO André | 56 |
12 | FERNANDES Luís | 63 |
13 | BENTA João | 60 |
14 | GALLEGO Alberto | 62 |
15 | AMADO Gonçalo | 65 |
16 | MATÉ Luis Ángel | 68 |
17 | MAGALHÃES Jorge | 63 |
18 | HOLLYMAN Mason | 59 |
19 | SOTO Antonio Jesús | 66 |
20 | RODRIGUES João | 60 |
21 | NUNES Hugo | 64 |
22 | TRUEBA Alvaro | 65 |
23 | CÉSAR VELOSO Gustavo | 69 |
25 | APARICIO Mario | 69 |