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 = -0.4 * weight + 33
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
Bonilla
2
73 kgRaabe
3
71 kgRodas
10
68 kgPerez Cuapio
11
58 kgRamirez
16
71 kg
2
73 kgRaabe
3
71 kgRodas
10
68 kgPerez Cuapio
11
58 kgRamirez
16
71 kg
Weight (KG) →
Result →
73
58
2
16
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BONILLA José Adrián | 73 |
| 3 | RAABE Henry | 71 |
| 10 | RODAS Manuel | 68 |
| 11 | PEREZ CUAPIO Julio Alberto | 58 |
| 16 | RAMIREZ Federico | 71 |