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 = 1.7 * weight - 75
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | GRÉGOIRE Baptiste | 65 |
| 2 | MARTÍN Marco | 56 |
| 3 | ZOMERMAAND Jurgen | 67 |
| 5 | HOLMES Wil | 64 |
| 6 | HERNANDEZ Jan | 54 |
| 8 | VILLAR Iker | 73 |
| 13 | VANHUFFEL Matteo | 57 |
| 15 | PEACE Matthew | 63 |
| 16 | DIJKMAN Daan | 55 |
| 29 | GONZÁLEZ Markel | 57 |
| 43 | MAGNOULON Lorik | 66 |
| 53 | HAWKER Finlay | 62 |
| 73 | DUCLOS-LASSALLE Hugo | 61 |
| 78 | TAMMEPUU Riko | 68 |
| 87 | CHURCH Nolan | 70 |