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 = 0.1 * weight + 32
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 8 | BOROŠ Michael | 69 |
| 12 | PÖSTLBERGER Lukas | 70 |
| 13 | VAN ROOY Kenneth | 70 |
| 14 | VAN GINNEKEN Sjoerd | 72 |
| 16 | BAKKER Dennis | 74.5 |
| 17 | CAPIOT Amaury | 69 |
| 18 | GODRIE Stan | 74 |
| 20 | TAFERNER Michael | 71 |
| 34 | DVORSKY David | 64 |
| 52 | GROßSCHARTNER Felix | 64 |
| 53 | PIBERNIK Luka | 60 |
| 61 | GOGL Michael | 71 |
| 63 | BOONS Ruben | 85 |
| 71 | DE HAAN Binne-Pier | 68 |
| 83 | VAN DER BURG Joost | 72 |