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 + 35
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN SCHIP Jan-Willem | 84 |
| 2 | VINJEBO Emil Mielke | 67 |
| 3 | SALZMANN Jodok | 72 |
| 4 | KONGSTAD Tobias | 75 |
| 5 | ČERNÝ Josef | 75 |
| 7 | BUGTER Luuc | 81 |
| 11 | BAIS Mattia | 66 |
| 12 | RAJOVIĆ Dušan | 74 |
| 13 | SØRENSEN Chris Anker | 64 |
| 14 | PRONSKIY Vadim | 58 |