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 + 137
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
Rodas
6
68 kgRamirez
8
71 kgSánchez
21
72 kgBonilla
29
73 kgRaabe
32
71 kgLachance
37
72 kgPerez Cuapio
52
58 kg
6
68 kgRamirez
8
71 kgSánchez
21
72 kgBonilla
29
73 kgRaabe
32
71 kgLachance
37
72 kgPerez Cuapio
52
58 kg
Weight (KG) →
Result →
73
58
6
52
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | RODAS Manuel | 68 |
| 8 | RAMIREZ Federico | 71 |
| 21 | SÁNCHEZ Augusto | 72 |
| 29 | BONILLA José Adrián | 73 |
| 32 | RAABE Henry | 71 |
| 37 | LACHANCE Jean-Michel | 72 |
| 52 | PEREZ CUAPIO Julio Alberto | 58 |