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 = 1.8 * weight - 100
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
Bonilla
3
73 kgPerez Cuapio
5
58 kgRamirez
13
71 kgRaabe
15
71 kgRodas
30
68 kgLachance
59
72 kgSánchez
65
72 kg
3
73 kgPerez Cuapio
5
58 kgRamirez
13
71 kgRaabe
15
71 kgRodas
30
68 kgLachance
59
72 kgSánchez
65
72 kg
Weight (KG) →
Result →
73
58
3
65
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BONILLA José Adrián | 73 |
| 5 | PEREZ CUAPIO Julio Alberto | 58 |
| 13 | RAMIREZ Federico | 71 |
| 15 | RAABE Henry | 71 |
| 30 | RODAS Manuel | 68 |
| 59 | LACHANCE Jean-Michel | 72 |
| 65 | SÁNCHEZ Augusto | 72 |