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 = -0.5 * weight + 46
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | FORTIN Filippo | 78 |
| 2 | PEDERSEN Casper | 71 |
| 5 | VAN DEN BRAND Twan | 71 |
| 6 | NÕMMELA Aksel | 69 |
| 9 | DE JONGE Maarten | 65 |
| 13 | EISING Tijmen | 80 |
| 14 | KVASINA Matija | 72 |
| 15 | KERKHOF Tim | 76 |
| 16 | HOLLER Nikodemus | 58 |
| 17 | HALLER Patrick | 68 |
| 18 | SCHULTING Peter | 70 |
| 19 | PADUN Mark | 67 |
| 20 | RÜEGG Lukas | 66 |
| 21 | OCKELOEN Jasper | 66 |
| 22 | STRAKHOV Dmitry | 70 |