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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | BERHE Welay Hagos | 58 |
| 2 | RICCITELLO Matthew | 55 |
| 3 | LÓPEZ Harold Martín | 55 |
| 4 | FLYNN Sean | 67 |
| 5 | BURKE Jack | 67 |
| 6 | GAROFOLI Gianmarco | 62 |
| 7 | RAFFERTY Darren | 65 |
| 9 | NOLDE Tobias | 79 |
| 10 | FILUTÁS Viktor | 68 |
| 11 | STAUNE-MITTET Johannes | 67 |
| 12 | FLÜCKIGER Mathias | 64 |
| 13 | VAN BEKKUM Darren | 62 |
| 14 | PATERSKI Maciej | 73 |
| 15 | KEPPLINGER Rainer | 70 |