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 - 20
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
Rojas
3
58 kgBonilla
8
73 kgRaabe
10
71 kgTorres
12
56 kgSoliz
16
58 kgRodas
59
68 kg
3
58 kgBonilla
8
73 kgRaabe
10
71 kgTorres
12
56 kgSoliz
16
58 kgRodas
59
68 kg
Weight (KG) →
Result →
73
56
3
59
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | ROJAS Juan Carlos | 58 |
| 8 | BONILLA José Adrián | 73 |
| 10 | RAABE Henry | 71 |
| 12 | TORRES Rodolfo Andrés | 56 |
| 16 | SOLIZ Óscar | 58 |
| 59 | RODAS Manuel | 68 |