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 = -0.1 * weight + 18
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
Rodas
10
68 kgBonilla
12
73 kgTorres
13
56 kgRojas
14
58 kgSoliz
18
58 kgRaabe
19
71 kg
10
68 kgBonilla
12
73 kgTorres
13
56 kgRojas
14
58 kgSoliz
18
58 kgRaabe
19
71 kg
Weight (KG) →
Result →
73
56
10
19
| # | Rider | Weight (KG) |
|---|---|---|
| 10 | RODAS Manuel | 68 |
| 12 | BONILLA José Adrián | 73 |
| 13 | TORRES Rodolfo Andrés | 56 |
| 14 | ROJAS Juan Carlos | 58 |
| 18 | SOLIZ Óscar | 58 |
| 19 | RAABE Henry | 71 |