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 + 136
This means that on average for every extra kilogram weight a rider loses -1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEBESAY Yakob | 63 |
| 7 | TESFATSION Natnael | 60 |
| 12 | MANIZABAYO Eric | 72 |
| 23 | CAMPOS Francisco | 60 |
| 24 | CARVALHO Gonçalo | 60 |
| 25 | MAYER Alexandre | 64 |
| 31 | SALAS Juan | 64 |
| 42 | ROUGIER-LAGANE Christopher | 69 |
| 43 | MAGALHÃES Jorge | 63 |
| 60 | SALGUEIRO Carlos Miguel | 68 |
| 69 | LÓPEZ Harold Martín | 55 |
| 70 | MUGISHA Moise | 58 |
| 84 | LOPES Pedro Miguel | 68 |
| 86 | ISHIHARA Yuki | 53 |