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 = 0.8 * weight - 37
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SALMON Benoît | 60 |
| 2 | STREEL Marc | 69 |
| 3 | HALGAND Patrice | 67 |
| 4 | LEFÈVRE Laurent | 67 |
| 6 | MORIN Anthony | 79 |
| 8 | BOUYER Franck | 65 |
| 12 | ZAPATA Javier de Jesús | 62 |
| 16 | MARÍN Ruber Alveiro | 55 |
| 19 | RAMÍREZ Dubán Alberto | 64 |
| 22 | BOVEN Jan | 65 |
| 26 | POSPYEYEV Kyrylo | 71 |
| 41 | DE NEEF Steven | 75 |
| 45 | VAN DE WALLE Jurgen | 74 |
| 46 | VERVECKEN Erwin | 78 |
| 49 | DE WAELE Fabien | 62 |