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 = 1.4 * weight - 68
This means that on average for every extra kilogram weight a rider loses 1.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | LATOUR Pierre | 66 |
| 4 | ADAMS Jens | 66 |
| 7 | FERGUSON Grant | 64 |
| 9 | RUYTERS Brecht | 69 |
| 10 | BUCHMANN Emanuel | 59 |
| 17 | THEVENOT Guillaume | 69 |
| 19 | VERVAEKE Louis | 68 |
| 28 | BERNARD Julien | 60 |
| 33 | VENTURINI Clément | 60 |
| 43 | VAN BREUSSEGEM Elias | 68 |
| 44 | BOUCHARD Geoffrey | 63 |
| 46 | VAN MEIRHAEGHE Jef | 71 |
| 59 | DE WINTER Ludwig | 83 |