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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VASTARANTA Jukka | 63 |
| 2 | WEENING Pieter | 68 |
| 3 | DE MAAR Marc | 70 |
| 4 | KOHL Bernhard | 61 |
| 5 | SCHEUNEMAN Niels | 75 |
| 7 | ERMETI Giairo | 60 |
| 9 | GLASNER Björn | 72 |
| 10 | VEUCHELEN Frederik | 75 |
| 11 | HELMINEN Matti | 74 |
| 12 | GILING Bas | 72 |
| 13 | VISCONTI Giovanni | 63 |
| 14 | KANNEMEYER Tiaan | 67 |
| 17 | MONFORT Maxime | 66 |
| 18 | HEIJBOER Mathieu | 78 |
| 19 | COX Ryan | 62 |