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 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
Bonilla
4
73 kgRodas
7
68 kgRaabe
11
71 kgRamirez
12
71 kgPerez Cuapio
18
58 kgLachance
53
72 kgSánchez
68
72 kg
4
73 kgRodas
7
68 kgRaabe
11
71 kgRamirez
12
71 kgPerez Cuapio
18
58 kgLachance
53
72 kgSánchez
68
72 kg
Weight (KG) →
Result →
73
58
4
68
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BONILLA José Adrián | 73 |
| 7 | RODAS Manuel | 68 |
| 11 | RAABE Henry | 71 |
| 12 | RAMIREZ Federico | 71 |
| 18 | PEREZ CUAPIO Julio Alberto | 58 |
| 53 | LACHANCE Jean-Michel | 72 |
| 68 | SÁNCHEZ Augusto | 72 |