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 = -0.9 * weight + 89
This means that on average for every extra kilogram weight a rider loses -0.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | WAMPERS Jean-Marie | 82 |
| 2 | GAYANT Martial | 69 |
| 3 | CHIAPPUCCI Claudio | 67 |
| 9 | SØRENSEN Rolf | 70 |
| 12 | SKIBBY Jesper | 70 |
| 15 | DERNIES Michel | 75 |
| 17 | MADIOT Marc | 68 |
| 24 | KELLY Sean | 77 |
| 32 | CENGHIALTA Bruno | 73 |
| 35 | BRUYNEEL Johan | 71 |
| 36 | VAN DER POEL Adrie | 70 |
| 37 | BÖLTS Udo | 73 |
| 39 | EARLEY Martin | 62 |
| 42 | DE WOLF Fons | 75 |
| 54 | BARONCHELLI Gianbattista | 72 |
| 58 | ARGENTIN Moreno | 66 |