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 = -0.4 * weight + 42
This means that on average for every extra kilogram weight a rider loses -0.4 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | VAN SCHIP Jan-Willem | 84 |
| 3 | VAN DALEN Jason | 70 |
| 4 | FOLSACH Casper | 81 |
| 5 | ČERNÝ Josef | 75 |
| 6 | KOROŠEC Rok | 75 |
| 7 | VINJEBO Emil Mielke | 67 |
| 8 | MENTEN Milan | 68 |
| 10 | POLNICKÝ Jiří | 68 |
| 11 | BUGTER Luuc | 81 |
| 13 | AUER Daniel | 73 |
| 14 | NÕMMELA Aksel | 69 |
| 16 | NEUMAN Dominik | 72 |
| 17 | RAJOVIĆ Dušan | 74 |
| 20 | TYBOR Patrik | 72 |
| 22 | BAIS Mattia | 66 |
| 25 | QUAADE Rasmus | 77 |
| 26 | STÖHR Ján | 72 |