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 = -0.1 * weight + 15
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | FINN Lorenzo | 63 |
| 4 | SEIXAS Paul | 61 |
| 5 | FIETZKE Paul | 60 |
| 6 | BARRY Ashlin | 77 |
| 10 | OMRZEL Jakob | 62 |
| 12 | VAN KERCKHOVE Matisse | 70 |
| 13 | GRÉGOIRE Baptiste | 65 |
| 18 | SPARFEL Aubin | 59 |