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 = -0.2 * weight + 24
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN AERT Wout | 78 |
| 2 | HAYTER Ethan | 70 |
| 3 | QUINN Sean | 67 |
| 4 | PAGE Hugo | 71 |
| 5 | BOASSON HAGEN Edvald | 75 |
| 6 | STUYVEN Jasper | 78 |
| 7 | VENTURINI Clément | 60 |
| 8 | BOUET Maxime | 67 |
| 9 | VAN GILS Maxim | 63 |
| 10 | THOMAS Benjamin | 68 |
| 11 | HUYS Laurens | 61 |
| 12 | STEIMLE Jannik | 73 |
| 13 | ROLLAND Pierre | 70 |