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 = 2.4 * weight - 130
This means that on average for every extra kilogram weight a rider loses 2.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ADAMS Jens | 66 |
| 5 | LATOUR Pierre | 66 |
| 8 | FERGUSON Grant | 64 |
| 11 | BERNARD Julien | 60 |
| 19 | VENTURINI Clément | 60 |
| 29 | VERVAEKE Louis | 68 |
| 30 | BUCHMANN Emanuel | 59 |
| 31 | RUYTERS Brecht | 69 |
| 32 | THEVENOT Guillaume | 69 |
| 35 | VLIEGEN Loïc | 70 |
| 40 | VAN MEIRHAEGHE Jef | 71 |
| 51 | KOCH Jonas | 75 |
| 61 | BOUCHARD Geoffrey | 63 |
| 69 | VAN BREUSSEGEM Elias | 68 |
| 84 | DE WINTER Ludwig | 83 |