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 = 0.8 * weight - 27
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
Higuita
1
57 kgChaves
3
55 kgSoto
4
66 kgAcosta
11
58 kgContreras
12
68 kgSuaza
13
66 kgAtapuma
16
59 kgRubiano
17
58 kgBustamante
18
65 kgOchoa
22
61 kgForero
25
62 kgChalapud
28
63 kgChaves
29
60 kgTorres
30
56 kgCamargo
31
65 kgPira
33
59 kgPedraza
38
58 kgRamirez
42
69 kgBohórquez
43
68 kg
1
57 kgChaves
3
55 kgSoto
4
66 kgAcosta
11
58 kgContreras
12
68 kgSuaza
13
66 kgAtapuma
16
59 kgRubiano
17
58 kgBustamante
18
65 kgOchoa
22
61 kgForero
25
62 kgChalapud
28
63 kgChaves
29
60 kgTorres
30
56 kgCamargo
31
65 kgPira
33
59 kgPedraza
38
58 kgRamirez
42
69 kgBohórquez
43
68 kg
Weight (KG) →
Result →
69
55
1
43
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HIGUITA Sergio | 57 |
| 3 | CHAVES Esteban | 55 |
| 4 | SOTO Nelson Andrés | 66 |
| 11 | ACOSTA Ruben Dario | 58 |
| 12 | CONTRERAS Rodrigo | 68 |
| 13 | SUAZA Bernardo | 66 |
| 16 | ATAPUMA Darwin | 59 |
| 17 | RUBIANO Miguel Angel | 58 |
| 18 | BUSTAMANTE Adrián | 65 |
| 22 | OCHOA Diego Antonio | 61 |
| 25 | FORERO Juan David | 62 |
| 28 | CHALAPUD Robinson | 63 |
| 29 | CHAVES German Enrique | 60 |
| 30 | TORRES Rodolfo Andrés | 56 |
| 31 | CAMARGO Diego Andrés | 65 |
| 33 | PIRA Yesid Albeiro | 59 |
| 38 | PEDRAZA Wálter Fernando | 58 |
| 42 | RAMIREZ Brayan Steven | 69 |
| 43 | BOHÓRQUEZ Hernando | 68 |