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 - 19
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HONORÉ Mikkel Frølich | 68 |
| 2 | CHARMIG Anthon | 66 |
| 3 | ROSTOVTSEV Sergey | 73 |
| 5 | GHYS Robbe | 72 |
| 6 | O'LOUGHLIN Michael | 72 |
| 7 | EENKHOORN Pascal | 72 |
| 9 | FIASCHI Tommaso | 65 |
| 10 | DENIS Thomas | 67 |
| 13 | GUERNALEC Thibault | 71 |
| 14 | PHILIPSEN Jasper | 75 |
| 16 | VAN DER HORST Dennis | 62 |
| 17 | FOSS Tobias | 74 |
| 18 | RUTSCH Jonas | 82 |
| 19 | VERWILST Aaron | 68 |
| 20 | HALLER Patrick | 68 |
| 22 | PEDERSEN Rasmus Lund | 84 |