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 = 1.5 * weight - 48
This means that on average for every extra kilogram weight a rider loses 1.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 13 | SPARFEL Aubin | 59 |
| 18 | HOLMES Wil | 64 |
| 26 | SMITH Jeremy | 58 |
| 28 | GOOLD Max | 59 |
| 37 | SEIXAS Paul | 61 |
| 41 | SCHELDEMAN Xander | 66 |
| 42 | BEISEMBAY Mansur | 73 |
| 47 | DE GENDT Leander | 51 |
| 49 | LARRONDE Ellande | 71 |
| 56 | TRUFFER Carl | 73 |
| 61 | HEATH Will | 63 |
| 62 | SCHOOFS Jasper | 68 |
| 70 | GRÉGOIRE Baptiste | 65 |
| 72 | MELLANO Ludovico Maria | 65 |
| 83 | PODLUZHNYY Mikhail | 71 |