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 = 3.2 * weight - 164
This means that on average for every extra kilogram weight a rider loses 3.2 positions in the result.
Serpa
4
64 kgMaya
14
58 kgRojas
45
58 kgRodas
62
68 kgRamirez
66
71 kgRaabe
68
71 kg
4
64 kgMaya
14
58 kgRojas
45
58 kgRodas
62
68 kgRamirez
66
71 kgRaabe
68
71 kg
Weight (KG) →
Result →
71
58
4
68
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | SERPA José Rodolfo | 64 |
| 14 | MAYA Carlos Alberto | 58 |
| 45 | ROJAS Juan Carlos | 58 |
| 62 | RODAS Manuel | 68 |
| 66 | RAMIREZ Federico | 71 |
| 68 | RAABE Henry | 71 |