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 + 12
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Bonilla
1
73 kgRodas
4
68 kgRaabe
6
71 kgPerez Cuapio
7
58 kgRamirez
14
71 kg
1
73 kgRodas
4
68 kgRaabe
6
71 kgPerez Cuapio
7
58 kgRamirez
14
71 kg
Weight (KG) →
Result →
73
58
1
14
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONILLA José Adrián | 73 |
| 4 | RODAS Manuel | 68 |
| 6 | RAABE Henry | 71 |
| 7 | PEREZ CUAPIO Julio Alberto | 58 |
| 14 | RAMIREZ Federico | 71 |