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 + 20
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | CICCONE Giulio | 58 |
| 2 | SEIXAS Paul | 61 |
| 3 | STORER Michael | 63 |
| 4 | GALL Felix | 66 |
| 5 | MIHOLJEVIĆ Fran | 72 |
| 6 | BARDET Romain | 65 |
| 7 | PICKERING Finlay | 55 |
| 8 | BAIS Davide | 66 |
| 9 | BOUWMAN Koen | 60 |
| 10 | AUGUST Andrew | 57 |
| 11 | HINDLEY Jai | 60 |
| 12 | PIGANZOLI Davide | 61 |
| 13 | STORK Florian | 65 |
| 15 | CEPEDA Jefferson Alexander | 56 |
| 17 | MEILER Lukas | 65 |
| 18 | CARUSO Damiano | 67 |
| 19 | RICCITELLO Matthew | 55 |