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 = -0.6 * weight + 77
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bonilla
16
73 kgRaabe
18
71 kgLachance
27
72 kgRodas
29
68 kgRamirez
36
71 kgPerez Cuapio
40
58 kgSánchez
58
72 kg
16
73 kgRaabe
18
71 kgLachance
27
72 kgRodas
29
68 kgRamirez
36
71 kgPerez Cuapio
40
58 kgSánchez
58
72 kg
Weight (KG) →
Result →
73
58
16
58
| # | Rider | Weight (KG) |
|---|---|---|
| 16 | BONILLA José Adrián | 73 |
| 18 | RAABE Henry | 71 |
| 27 | LACHANCE Jean-Michel | 72 |
| 29 | RODAS Manuel | 68 |
| 36 | RAMIREZ Federico | 71 |
| 40 | PEREZ CUAPIO Julio Alberto | 58 |
| 58 | SÁNCHEZ Augusto | 72 |