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 = -0.4 * weight + 50
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | LAURANCE Axel | 63 |
| 3 | LÜHRS Leslie | 83 |
| 5 | HOHMANN Lars | 73 |
| 9 | HUYS Branko | 77 |
| 13 | CLYNHENS Toon | 61 |
| 14 | FRETIN Milan | 70 |
| 16 | KARPENKO Gleb | 77 |
| 17 | DE DECKER Tijl | 73 |
| 22 | KRIJNSEN Jelte | 73 |
| 26 | ROSNER Linus | 68 |
| 29 | HAYTER Leo | 66 |
| 53 | SZÉKELY Nathan | 75 |
| 58 | VERHAEGEN Lennie | 67 |