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 = 0.2 * weight - 3
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
Bonilla
1
73 kgSoliz
2
58 kgRojas
4
58 kgTorres
7
56 kgRaabe
9
71 kgRodas
16
68 kg
1
73 kgSoliz
2
58 kgRojas
4
58 kgTorres
7
56 kgRaabe
9
71 kgRodas
16
68 kg
Weight (KG) →
Result →
73
56
1
16
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BONILLA José Adrián | 73 |
| 2 | SOLIZ Óscar | 58 |
| 4 | ROJAS Juan Carlos | 58 |
| 7 | TORRES Rodolfo Andrés | 56 |
| 9 | RAABE Henry | 71 |
| 16 | RODAS Manuel | 68 |