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 + 19
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bonilla
6
73 kgRaabe
16
71 kgRamirez
24
71 kgRodas
25
68 kgPerez Cuapio
30
58 kgSánchez
53
72 kgLachance
60
72 kg
6
73 kgRaabe
16
71 kgRamirez
24
71 kgRodas
25
68 kgPerez Cuapio
30
58 kgSánchez
53
72 kgLachance
60
72 kg
Weight (KG) →
Result →
73
58
6
60
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | BONILLA José Adrián | 73 |
| 16 | RAABE Henry | 71 |
| 24 | RAMIREZ Federico | 71 |
| 25 | RODAS Manuel | 68 |
| 30 | PEREZ CUAPIO Julio Alberto | 58 |
| 53 | SÁNCHEZ Augusto | 72 |
| 60 | LACHANCE Jean-Michel | 72 |