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 = -0.4 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 2 | KARPETS Vladimir | 79 |
| 3 | VAN HEESWIJK Max | 73 |
| 4 | RODRÍGUEZ Joaquim | 58 |
| 5 | PÉREZ RODRÍGUEZ Luis | 67 |
| 7 | CARRARA Matteo | 67 |
| 8 | HONDO Danilo | 73 |
| 9 | BOSSONI Paolo | 62 |
| 10 | PARRA Iván Ramiro | 62 |
| 11 | SÁNCHEZ Julián | 60 |
| 12 | NOCENTINI Rinaldo | 60 |
| 13 | LASTRAS Pablo | 68 |
| 14 | DUEÑAS Moisés | 61 |
| 15 | PIEPOLI Leonardo | 54 |