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 = 0.4 * weight - 20
This means that on average for every extra kilogram weight a rider loses 0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | GABRIEL Frédéric | 60 |
| 3 | VAN LEIJEN Joost | 73 |
| 4 | SCHEIRLINCKX Bert | 67 |
| 5 | BAGUET Serge | 67 |
| 6 | BELLEMAKERS Dirk | 75 |
| 8 | WYNANTS Maarten | 74 |
| 9 | CACCIA Diego | 70 |
| 10 | PEDERSEN Martin | 62 |
| 11 | MERCKX Axel | 77 |
| 12 | MARTENS Paul | 69 |
| 13 | D'HOLLANDER Glenn | 74 |
| 14 | ARVESEN Kurt-Asle | 74 |
| 15 | VIERHOUTEN Aart | 71 |
| 16 | CURVERS Roy | 73 |
| 17 | BERNUCCI Lorenzo | 72 |