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 = 1.6 * weight - 95
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
Bonilla
1
73 kgPerez Cuapio
2
58 kgRaabe
3
71 kgRamirez
9
71 kgRodas
10
68 kgSánchez
45
72 kgLachance
57
72 kg
1
73 kgPerez Cuapio
2
58 kgRaabe
3
71 kgRamirez
9
71 kgRodas
10
68 kgSánchez
45
72 kgLachance
57
72 kg
Weight (KG) →
Result →
73
58
1
57
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONILLA José Adrián | 73 |
| 2 | PEREZ CUAPIO Julio Alberto | 58 |
| 3 | RAABE Henry | 71 |
| 9 | RAMIREZ Federico | 71 |
| 10 | RODAS Manuel | 68 |
| 45 | SÁNCHEZ Augusto | 72 |
| 57 | LACHANCE Jean-Michel | 72 |