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) |
|---|---|---|
| 3 | SEIXAS Paul | 61 |
| 5 | SPARFEL Aubin | 59 |
| 6 | SCHOOFS Jasper | 68 |
| 10 | HOLMES Wil | 64 |
| 19 | SMITH Jeremy | 58 |
| 21 | GOOLD Max | 59 |
| 30 | SCHELDEMAN Xander | 66 |
| 40 | HEATH Will | 63 |
| 44 | DE GENDT Leander | 51 |
| 47 | DUCLOS-LASSALLE Hugo | 61 |
| 53 | GRÉGOIRE Baptiste | 65 |
| 55 | MELLANO Ludovico Maria | 65 |
| 59 | BEISEMBAY Mansur | 73 |
| 61 | LARRONDE Ellande | 71 |
| 71 | PODLUZHNYY Mikhail | 71 |