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 - 10
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Soto
1
66 kgDuarte
6
55 kgReyes
7
55 kgBohórquez
9
68 kgAguirre
12
55 kgOchoa
14
61 kgSierra
16
66 kgPrado
23
65 kgAcosta
28
58 kgSevilla
29
62 kgAtapuma
31
59 kgBustamante
32
65 kgChaparro
36
54 kgCadena
38
63 kgSuaza
39
66 kgRodríguez
41
62 kgOsorio
43
65 kgContreras
44
68 kgÁlvarez
47
60 kg
1
66 kgDuarte
6
55 kgReyes
7
55 kgBohórquez
9
68 kgAguirre
12
55 kgOchoa
14
61 kgSierra
16
66 kgPrado
23
65 kgAcosta
28
58 kgSevilla
29
62 kgAtapuma
31
59 kgBustamante
32
65 kgChaparro
36
54 kgCadena
38
63 kgSuaza
39
66 kgRodríguez
41
62 kgOsorio
43
65 kgContreras
44
68 kgÁlvarez
47
60 kg
Weight (KG) →
Result →
68
54
1
47
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SOTO Nelson Andrés | 66 |
| 6 | DUARTE Fabio | 55 |
| 7 | REYES Aldemar | 55 |
| 9 | BOHÓRQUEZ Hernando | 68 |
| 12 | AGUIRRE Hernán Ricardo | 55 |
| 14 | OCHOA Diego Antonio | 61 |
| 16 | SIERRA Yecid Arturo | 66 |
| 23 | PRADO Ignacio de Jesús | 65 |
| 28 | ACOSTA Ruben Dario | 58 |
| 29 | SEVILLA Óscar | 62 |
| 31 | ATAPUMA Darwin | 59 |
| 32 | BUSTAMANTE Adrián | 65 |
| 36 | CHAPARRO Didier | 54 |
| 38 | CADENA Edgar David | 63 |
| 39 | SUAZA Bernardo | 66 |
| 41 | RODRÍGUEZ Jhon Anderson | 62 |
| 43 | OSORIO Juan Felipe | 65 |
| 44 | CONTRERAS Rodrigo | 68 |
| 47 | ÁLVAREZ Miguel Luis | 60 |