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 = -0.1 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Ramirez
6
71 kgRaabe
7
71 kgBonilla
9
73 kgPerez Cuapio
21
58 kgLachance
39
72 kgSánchez
48
72 kgRodas
53
68 kg
6
71 kgRaabe
7
71 kgBonilla
9
73 kgPerez Cuapio
21
58 kgLachance
39
72 kgSánchez
48
72 kgRodas
53
68 kg
Weight (KG) →
Result →
73
58
6
53
| # | Rider | Weight (KG) |
|---|---|---|
| 6 | RAMIREZ Federico | 71 |
| 7 | RAABE Henry | 71 |
| 9 | BONILLA José Adrián | 73 |
| 21 | PEREZ CUAPIO Julio Alberto | 58 |
| 39 | LACHANCE Jean-Michel | 72 |
| 48 | SÁNCHEZ Augusto | 72 |
| 53 | RODAS Manuel | 68 |