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 * weight - 40
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | PÖSTLBERGER Lukas | 70 |
| 7 | CAPIOT Amaury | 69 |
| 9 | GODRIE Stan | 74 |
| 10 | VAN GINNEKEN Sjoerd | 72 |
| 14 | PIBERNIK Luka | 60 |
| 16 | BOROŠ Michael | 69 |
| 20 | VAN ROOY Kenneth | 70 |
| 22 | BAKKER Dennis | 74.5 |
| 29 | GROßSCHARTNER Felix | 64 |
| 31 | VAN DER BURG Joost | 72 |
| 33 | DVORSKY David | 64 |
| 34 | DE HAAN Binne-Pier | 68 |
| 52 | BOONS Ruben | 85 |
| 64 | TAFERNER Michael | 71 |
| 65 | GOGL Michael | 71 |