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 = -0.6 * weight + 66
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
Bonilla
3
73 kgRojas
6
58 kgRodas
10
68 kgSoliz
34
58 kgTorres
55
56 kgRaabe
64
71 kg
3
73 kgRojas
6
58 kgRodas
10
68 kgSoliz
34
58 kgTorres
55
56 kgRaabe
64
71 kg
Weight (KG) →
Result →
73
56
3
64
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BONILLA José Adrián | 73 |
| 6 | ROJAS Juan Carlos | 58 |
| 10 | RODAS Manuel | 68 |
| 34 | SOLIZ Óscar | 58 |
| 55 | TORRES Rodolfo Andrés | 56 |
| 64 | RAABE Henry | 71 |