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 = -0.1 * weight + 17
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SILVESTRE Fábio | 78 |
| 2 | VERMELTFOORT Coen | 85 |
| 3 | BLAIN Alexandre | 82 |
| 4 | HUREL Tony | 66 |
| 5 | NIKOLAEV Sergey | 66 |
| 7 | DRUJON Mathieu | 75 |
| 8 | VAN DER LIJKE Nick | 61 |
| 9 | TRONET Steven | 67 |
| 10 | ALAFACI Eugenio | 77 |
| 14 | FOURNIER Marc | 71 |
| 15 | MOSER Ignazio | 88 |
| 16 | JAKIN Alo | 71 |
| 18 | NORRIS Lachlan | 67 |