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 - 17
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SOTO Nelson Andrés | 66 |
| 5 | OSORIO Alejandro | 62 |
| 6 | CAICEDO Jonathan Klever | 62 |
| 7 | BUSTAMANTE Adrián | 65 |
| 10 | CADENA Edgar David | 63 |
| 11 | PEÑUELA Francisco Joel | 56 |
| 20 | MONSALVE Yonathan | 62 |
| 23 | PINZÓN Edgar Andrés | 62 |
| 25 | ZURITA Ricardo Alejandro | 62 |
| 27 | CAMARGO Diego Andrés | 65 |
| 29 | REVETE Brayan | 62 |
| 31 | GÁLVIZ Carlos Johan | 65 |
| 38 | GODOY Yonder | 64 |