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 = 0.3 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.3 positions in the result.
Raabe
3
71 kgRodas
8
68 kgRamirez
14
71 kgBonilla
15
73 kgPerez Cuapio
26
58 kgLachance
41
72 kgSánchez
55
72 kg
3
71 kgRodas
8
68 kgRamirez
14
71 kgBonilla
15
73 kgPerez Cuapio
26
58 kgLachance
41
72 kgSánchez
55
72 kg
Weight (KG) →
Result →
73
58
3
55
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | RAABE Henry | 71 |
| 8 | RODAS Manuel | 68 |
| 14 | RAMIREZ Federico | 71 |
| 15 | BONILLA José Adrián | 73 |
| 26 | PEREZ CUAPIO Julio Alberto | 58 |
| 41 | LACHANCE Jean-Michel | 72 |
| 55 | SÁNCHEZ Augusto | 72 |