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 + 21
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | PIBERNIK Luka | 60 |
| 2 | SKUJIŅŠ Toms | 70 |
| 3 | KRAGH ANDERSEN Asbjørn | 72 |
| 4 | ČERNÝ Josef | 75 |
| 5 | MEIJERS Daan | 70 |
| 6 | HIRT Jan | 62 |
| 7 | NORMAN LETH Lasse | 75 |
| 9 | KONRAD Patrick | 64 |
| 10 | POLANC Jan | 62 |
| 11 | FRANCZAK Paweł | 63 |
| 12 | ALAPHILIPPE Julian | 62 |
| 13 | GROßSCHARTNER Felix | 64 |
| 15 | BAŠKA Erik | 74 |
| 17 | SPOKES Samuel | 63 |
| 18 | STÖHR Ján | 72 |
| 22 | DVORSKY David | 64 |