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 + 22
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHOOFS Jasper | 68 |
| 5 | SEIXAS Paul | 61 |
| 6 | HOLMES Wil | 64 |
| 7 | SPARFEL Aubin | 59 |
| 22 | SMITH Jeremy | 58 |
| 25 | GOOLD Max | 59 |
| 37 | BEISEMBAY Mansur | 73 |
| 41 | MELLANO Ludovico Maria | 65 |
| 42 | SCHELDEMAN Xander | 66 |
| 46 | GRÉGOIRE Baptiste | 65 |
| 52 | PODLUZHNYY Mikhail | 71 |
| 55 | LARRONDE Ellande | 71 |
| 60 | HEATH Will | 63 |
| 67 | DE GENDT Leander | 51 |