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 = -0.5 * weight + 48
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER MEULEN Max | 67 |
| 2 | LOVIDIUS Edvin | 70 |
| 3 | VAN BEKKUM Darren | 62 |
| 8 | TUCKWELL Luke | 66 |
| 11 | NORDHAGEN Jørgen | 59 |
| 12 | SIERRA Juan David | 70 |
| 13 | WIDAR Jarno | 54 |
| 23 | BAERS Arne | 62 |
| 24 | PIDCOCK Joseph | 57 |
| 29 | CARRASCOSA Pablo | 58 |
| 31 | HARRISON Curtis | 65 |
| 32 | GAJDULEWICZ Mateusz | 67 |
| 36 | GOMEZ Camilo Andres | 64.5 |