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 + 13
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
Raabe
12
71 kgTorres
14
56 kgSoliz
32
58 kgRodas
34
68 kgBonilla
66
73 kgRojas
67
58 kg
12
71 kgTorres
14
56 kgSoliz
32
58 kgRodas
34
68 kgBonilla
66
73 kgRojas
67
58 kg
Weight (KG) →
Result →
73
56
12
67
| # | Rider | Weight (KG) |
|---|---|---|
| 12 | RAABE Henry | 71 |
| 14 | TORRES Rodolfo Andrés | 56 |
| 32 | SOLIZ Óscar | 58 |
| 34 | RODAS Manuel | 68 |
| 66 | BONILLA José Adrián | 73 |
| 67 | ROJAS Juan Carlos | 58 |