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 = 1.9 * weight - 114
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SCHEUNEMAN Niels | 75 |
| 2 | NISSEN Søren | 65 |
| 3 | VASTARANTA Jukka | 63 |
| 4 | BRESCHEL Matti | 70 |
| 5 | ISTA Kevyn | 70 |
| 6 | MONFORT Maxime | 66 |
| 8 | HOOGERLAND Johnny | 65 |
| 11 | ROY Jérémy | 70 |
| 12 | VAN LEIJEN Joost | 73 |
| 15 | JURČO Matej | 69 |
| 23 | ROUSSEAU Nicolas | 70 |
| 24 | CHRISTENSEN Mads | 69 |
| 28 | SURAY Gil | 67 |
| 30 | DIDIER Laurent | 68 |
| 35 | MAASKANT Martijn | 76 |
| 58 | BELLEMAKERS Dirk | 75 |