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 = -0.2 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
De Gendt
1
73 kgSchachmann
2
71 kgBole
3
69 kgValverde
4
61 kgDuijn
5
73 kgBernal
6
60 kgMaté
7
68 kg
1
73 kgSchachmann
2
71 kgBole
3
69 kgValverde
4
61 kgDuijn
5
73 kgBernal
6
60 kgMaté
7
68 kg
Weight (KG) →
Result →
73
60
1
7
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DE GENDT Thomas | 73 |
| 2 | SCHACHMANN Maximilian | 71 |
| 3 | BOLE Grega | 69 |
| 4 | VALVERDE Alejandro | 61 |
| 5 | DUIJN Huub | 73 |
| 6 | BERNAL Egan | 60 |
| 7 | MATÉ Luis Ángel | 68 |