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 - 12
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN DER WEIJST Geert | 63 |
| 2 | SCHMIDT Fabien | 63 |
| 3 | CAPIOT Amaury | 69 |
| 6 | VINTHER Troels Rønning | 68 |
| 9 | BARBERO Carlos | 66 |
| 12 | MALDONADO Anthony | 57 |
| 13 | WALSCHEID Max | 90 |
| 20 | CARDIS Romain | 72 |
| 26 | ASSELMAN Jesper | 69 |
| 29 | REIHS Michael | 75 |
| 32 | KALOJÍROS Tomáš | 68 |