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 - 16
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Atapuma
4
59 kgSuaza
7
66 kgRodríguez
8
62 kgAguirre
10
55 kgAcosta
11
58 kgReyes
14
55 kgGarcía
16
55 kgChalapud
17
63 kgCamargo
18
65 kgMendez
19
57 kgBuitrago
20
59 kgRamirez
21
69 kgPedraza
23
58 kgFlórez
24
57 kgÁvila
26
61 kgMolano
28
72 kgSierra
30
66 kgTorres
31
56 kgChaves
37
60 kgBustamante
40
65 kgMontoya
44
64 kg
4
59 kgSuaza
7
66 kgRodríguez
8
62 kgAguirre
10
55 kgAcosta
11
58 kgReyes
14
55 kgGarcía
16
55 kgChalapud
17
63 kgCamargo
18
65 kgMendez
19
57 kgBuitrago
20
59 kgRamirez
21
69 kgPedraza
23
58 kgFlórez
24
57 kgÁvila
26
61 kgMolano
28
72 kgSierra
30
66 kgTorres
31
56 kgChaves
37
60 kgBustamante
40
65 kgMontoya
44
64 kg
Weight (KG) →
Result →
72
55
4
44
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | ATAPUMA Darwin | 59 |
| 7 | SUAZA Bernardo | 66 |
| 8 | RODRÍGUEZ Jhon Anderson | 62 |
| 10 | AGUIRRE Hernán Ricardo | 55 |
| 11 | ACOSTA Ruben Dario | 58 |
| 14 | REYES Aldemar | 55 |
| 16 | GARCÍA Jhojan | 55 |
| 17 | CHALAPUD Robinson | 63 |
| 18 | CAMARGO Diego Andrés | 65 |
| 19 | MENDEZ Daniel Alejandro | 57 |
| 20 | BUITRAGO Santiago | 59 |
| 21 | RAMIREZ Brayan Steven | 69 |
| 23 | PEDRAZA Wálter Fernando | 58 |
| 24 | FLÓREZ Miguel Eduardo | 57 |
| 26 | ÁVILA Edwin | 61 |
| 28 | MOLANO Juan Sebastián | 72 |
| 30 | SIERRA Yecid Arturo | 66 |
| 31 | TORRES Rodolfo Andrés | 56 |
| 37 | CHAVES German Enrique | 60 |
| 40 | BUSTAMANTE Adrián | 65 |
| 44 | MONTOYA Javier Ignacio | 64 |