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 = 0.2 * weight - 2
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KOHL Bernhard | 61 |
| 2 | VASTARANTA Jukka | 63 |
| 3 | GLASNER Björn | 72 |
| 4 | VERVECKEN Erwin | 78 |
| 5 | WEENING Pieter | 68 |
| 6 | ERMETI Giairo | 60 |
| 8 | DE MAAR Marc | 70 |
| 10 | KANNEMEYER Tiaan | 67 |
| 11 | VEUCHELEN Frederik | 75 |
| 12 | VISCONTI Giovanni | 63 |
| 13 | SCHEUNEMAN Niels | 75 |
| 14 | HELMINEN Matti | 74 |
| 15 | GILING Bas | 72 |
| 17 | FAILLI Francesco | 65 |
| 19 | MONFORT Maxime | 66 |