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 = 2.5 * weight - 132
This means that on average for every extra kilogram weight a rider loses 2.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BUCHMANN Emanuel | 59 |
| 4 | BOUCHARD Geoffrey | 63 |
| 5 | LATOUR Pierre | 66 |
| 17 | RUYTERS Brecht | 69 |
| 18 | ADAMS Jens | 66 |
| 19 | BERNARD Julien | 60 |
| 24 | FERGUSON Grant | 64 |
| 27 | VAN MEIRHAEGHE Jef | 71 |
| 31 | VERVAEKE Louis | 68 |
| 34 | VAN BREUSSEGEM Elias | 68 |
| 43 | THEVENOT Guillaume | 69 |
| 50 | VENTURINI Clément | 60 |
| 65 | DE WINTER Ludwig | 83 |
| 67 | KOCH Jonas | 75 |
| 93 | VLIEGEN Loïc | 70 |