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 - 17
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Rodas
6
68 kgLachance
16
72 kgRamirez
17
71 kgBonilla
18
73 kgRaabe
21
71 kgPerez Cuapio
23
58 kgSánchez
70
72 kg
6
68 kgLachance
16
72 kgRamirez
17
71 kgBonilla
18
73 kgRaabe
21
71 kgPerez Cuapio
23
58 kgSánchez
70
72 kg
Weight (KG) →
Result →
73
58
6
70
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | RODAS Manuel | 68 |
| 16 | LACHANCE Jean-Michel | 72 |
| 17 | RAMIREZ Federico | 71 |
| 18 | BONILLA José Adrián | 73 |
| 21 | RAABE Henry | 71 |
| 23 | PEREZ CUAPIO Julio Alberto | 58 |
| 70 | SÁNCHEZ Augusto | 72 |