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 + 19
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MACKINNON Sean | 75 |
| 2 | JAMIESON Adam | 75 |
| 4 | TSCHERNOSTER Jan | 62 |
| 6 | WIRTGEN Tom | 77 |
| 7 | PEDERSEN Casper | 71 |
| 8 | VAN SCHIP Jan-Willem | 84 |
| 11 | BACKOFEN Moritz | 62 |
| 12 | KÄMNA Lennard | 65 |
| 15 | VAN HOOYDONCK Nathan | 78 |
| 17 | VINJEBO Emil Mielke | 67 |
| 19 | BERGSTRÖM FRISK Hannes | 70 |
| 25 | CARBEL Michael | 73 |