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 = 0.5 * weight - 8
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | WINNEN Peter | 60 |
| 10 | GIANETTI Mauro | 62 |
| 13 | WAMPERS Jean-Marie | 82 |
| 14 | VERSTREPEN Johan | 66 |
| 15 | CHIAPPUCCI Claudio | 67 |
| 16 | VAN DER POEL Adrie | 70 |
| 17 | DE WOLF Fons | 75 |
| 19 | TOLHOEK Patrick | 63 |
| 21 | BRUYNEEL Johan | 71 |
| 26 | BUGNO Gianni | 68 |
| 28 | JÄRMANN Rolf | 73 |
| 38 | DERNIES Michel | 75 |
| 43 | HEIRWEG Dirk | 73 |
| 44 | CORDES Tom | 70 |
| 55 | EARLEY Martin | 62 |
| 56 | SCHUR Jan | 73 |