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 + 1
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
Bonilla
2
73 kgPerez Cuapio
4
58 kgRamirez
8
71 kgRaabe
9
71 kgRodas
13
68 kg
2
73 kgPerez Cuapio
4
58 kgRamirez
8
71 kgRaabe
9
71 kgRodas
13
68 kg
Weight (KG) →
Result →
73
58
2
13
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | BONILLA José Adrián | 73 |
| 4 | PEREZ CUAPIO Julio Alberto | 58 |
| 8 | RAMIREZ Federico | 71 |
| 9 | RAABE Henry | 71 |
| 13 | RODAS Manuel | 68 |