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 = -2.1 * weight + 171
This means that on average for every extra kilogram weight a rider loses -2.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | SÉNÉCHAL Florian | 77 |
| 4 | BOUDAT Thomas | 70 |
| 7 | POUILLY Félix | 66 |
| 9 | THEVENOT Guillaume | 69 |
| 12 | TURGIS Anthony | 70 |
| 14 | YSSAAD Yannis | 69 |
| 15 | SARREAU Marc | 76 |
| 16 | MYNGHEER Daan | 74 |
| 22 | VLIEGEN Loïc | 70 |
| 23 | KERF Jerome | 71 |
| 24 | MANZIN Lorrenzo | 69 |
| 27 | VALLÉE Boris | 79 |
| 47 | KOWALSKI Dylan | 67 |
| 86 | GRELLIER Fabien | 65 |