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 = 1.7 * weight - 102
This means that on average for every extra kilogram weight a rider loses 1.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VASTARANTA Jukka | 63 |
| 2 | SCHEUNEMAN Niels | 75 |
| 3 | HOOGERLAND Johnny | 65 |
| 4 | ROY Jérémy | 70 |
| 6 | NISSEN Søren | 65 |
| 7 | BRESCHEL Matti | 70 |
| 10 | MONFORT Maxime | 66 |
| 11 | VAN LEIJEN Joost | 73 |
| 12 | JURČO Matej | 69 |
| 21 | ROUSSEAU Nicolas | 70 |
| 24 | SURAY Gil | 67 |
| 28 | MAASKANT Martijn | 76 |
| 29 | ISTA Kevyn | 70 |
| 31 | DIDIER Laurent | 68 |
| 38 | CHRISTENSEN Mads | 69 |
| 57 | BELLEMAKERS Dirk | 75 |