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 = -0.6 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
del Toro
1
64 kgMorgado
2
71 kgMajka
3
62 kgTorres
4
70 kgBarceló
5
65 kgMolenaar
6
63 kgFagúndez
7
67 kgSerrano
8
65 kgEulálio
9
62 kgDíaz
10
64 kgRestrepo
11
73 kgGutiérrez
12
58 kgSerrano
13
60 kgMaté
14
68 kgLópez
16
59 kgArrieta
17
64 kgBou
18
62 kgSánchez
19
62 kgEzquerra
20
68 kgChumil
21
62 kgBregnhøj
22
63 kgSamitier
23
63 kgCamargo
25
65 kgCadena
26
63 kg
1
64 kgMorgado
2
71 kgMajka
3
62 kgTorres
4
70 kgBarceló
5
65 kgMolenaar
6
63 kgFagúndez
7
67 kgSerrano
8
65 kgEulálio
9
62 kgDíaz
10
64 kgRestrepo
11
73 kgGutiérrez
12
58 kgSerrano
13
60 kgMaté
14
68 kgLópez
16
59 kgArrieta
17
64 kgBou
18
62 kgSánchez
19
62 kgEzquerra
20
68 kgChumil
21
62 kgBregnhøj
22
63 kgSamitier
23
63 kgCamargo
25
65 kgCadena
26
63 kg
Weight (KG) →
Result →
73
58
1
26
# | Rider | Weight (KG) |
---|---|---|
1 | DEL TORO Isaac | 64 |
2 | MORGADO António | 71 |
3 | MAJKA Rafał | 62 |
4 | TORRES Albert | 70 |
5 | BARCELÓ Fernando | 65 |
6 | MOLENAAR Alex | 63 |
7 | FAGÚNDEZ Eric Antonio | 67 |
8 | SERRANO Gonzalo | 65 |
9 | EULÁLIO Afonso | 62 |
10 | DÍAZ José Manuel | 64 |
11 | RESTREPO Jhonatan | 73 |
12 | GUTIÉRREZ Jorge | 58 |
13 | SERRANO Javier | 60 |
14 | MATÉ Luis Ángel | 68 |
16 | LÓPEZ Jordi | 59 |
17 | ARRIETA Igor | 64 |
18 | BOU Joan | 62 |
19 | SÁNCHEZ Pelayo | 62 |
20 | EZQUERRA Jesús | 68 |
21 | CHUMIL Sergio Geovani | 62 |
22 | BREGNHØJ Mathias | 63 |
23 | SAMITIER Sergio | 63 |
25 | CAMARGO Diego Andrés | 65 |
26 | CADENA Edgar David | 63 |