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 = 1.5 * weight - 66
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
Soliz
7
58 kgBonilla
15
73 kgRojas
16
58 kgTorres
20
56 kgRodas
45
68 kgRaabe
56
71 kg
7
58 kgBonilla
15
73 kgRojas
16
58 kgTorres
20
56 kgRodas
45
68 kgRaabe
56
71 kg
Weight (KG) →
Result →
73
56
7
56
| # | Rider | Weight (KG) |
|---|---|---|
| 7 | SOLIZ Óscar | 58 |
| 15 | BONILLA José Adrián | 73 |
| 16 | ROJAS Juan Carlos | 58 |
| 20 | TORRES Rodolfo Andrés | 56 |
| 45 | RODAS Manuel | 68 |
| 56 | RAABE Henry | 71 |