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 = -0.6 * weight + 64
This means that on average for every extra kilogram weight a rider loses -0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | ERMENAULT Corentin | 75 |
| 6 | PLANCKAERT Emiel | 69 |
| 7 | WARLOP Jordi | 71 |
| 9 | CRAS Steff | 65 |
| 12 | GAREL Adrien | 77 |
| 14 | MAITRE Florian | 71 |
| 16 | MAAS Jan | 70 |
| 21 | MORTIER Julien | 66 |
| 23 | MOLLY Kenny | 61 |
| 35 | CASTRIQUE Jonas | 81 |
| 39 | ARNOULT Floryan | 60 |
| 49 | CORDEIRO Damien | 65 |
| 55 | AVOINE Kévin | 70 |