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 = 1.1 * weight - 59
This means that on average for every extra kilogram weight a rider loses 1.1 positions in the result.
Martínez
1
63 kgQuintana
2
58 kgBernal
3
60 kgRivera
4
60 kgChaves
5
55 kgAnacona
7
65 kgMuñoz
10
63 kgOrdoñez
21
67 kg
1
63 kgQuintana
2
58 kgBernal
3
60 kgRivera
4
60 kgChaves
5
55 kgAnacona
7
65 kgMuñoz
10
63 kgOrdoñez
21
67 kg
Weight (KG) →
Result →
67
55
1
21
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTÍNEZ Daniel Felipe | 63 |
| 2 | QUINTANA Nairo | 58 |
| 3 | BERNAL Egan | 60 |
| 4 | RIVERA Brandon Smith | 60 |
| 5 | CHAVES Esteban | 55 |
| 7 | ANACONA Winner | 65 |
| 10 | MUÑOZ Cristian Camilo | 63 |
| 21 | ORDOÑEZ Santiago | 67 |