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 = 0.9 * weight - 42
This means that on average for every extra kilogram weight a rider loses 0.9 positions in the result.
Chaves
1
55 kgMartínez
2
63 kgQuintana
3
58 kgMerchan
4
57 kgHenao
6
61 kgFlórez
7
57 kgRubio
8
56 kgCamargo
9
65 kgChaparro
10
54 kgRivera
11
60 kgLópez
17
59 kgGarzon
17
62 kgHiguita
19
57 kgAcosta
21
58 kgMuñoz
22
63 kgContreras
24
68 kgBustamante
28
65 kgAnacona
30
65 kgPeña
32
56 kg
1
55 kgMartínez
2
63 kgQuintana
3
58 kgMerchan
4
57 kgHenao
6
61 kgFlórez
7
57 kgRubio
8
56 kgCamargo
9
65 kgChaparro
10
54 kgRivera
11
60 kgLópez
17
59 kgGarzon
17
62 kgHiguita
19
57 kgAcosta
21
58 kgMuñoz
22
63 kgContreras
24
68 kgBustamante
28
65 kgAnacona
30
65 kgPeña
32
56 kg
Weight (KG) →
Result →
68
54
1
32
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CHAVES Esteban | 55 |
| 2 | MARTÍNEZ Daniel Felipe | 63 |
| 3 | QUINTANA Nairo | 58 |
| 4 | MERCHAN Didier | 57 |
| 6 | HENAO Sergio | 61 |
| 7 | FLÓREZ Miguel Eduardo | 57 |
| 8 | RUBIO Einer | 56 |
| 9 | CAMARGO Diego Andrés | 65 |
| 10 | CHAPARRO Didier | 54 |
| 11 | RIVERA Brandon Smith | 60 |
| 17 | LÓPEZ Miguel Ángel | 59 |
| 17 | GARZON Marlon David | 62 |
| 19 | HIGUITA Sergio | 57 |
| 21 | ACOSTA Ruben Dario | 58 |
| 22 | MUÑOZ Cristian Camilo | 63 |
| 24 | CONTRERAS Rodrigo | 68 |
| 28 | BUSTAMANTE Adrián | 65 |
| 30 | ANACONA Winner | 65 |
| 32 | PEÑA Jesús David | 56 |