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 + 8
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KENNETT Dylan | 75 |
| 3 | ROHDE Leon | 75 |
| 6 | GROVES Kaden | 76 |
| 8 | DYBALL Benjamin | 63 |
| 9 | PAVLIČ Marko | 65 |
| 10 | DEBESAY Yakob | 63 |
| 11 | LAKASEK Irwandie | 71 |
| 13 | TESFATSION Natnael | 60 |
| 16 | STROKAU Vasili | 74 |
| 17 | MAZUKI Nur Amirul Fakhruddin | 57 |
| 19 | MUZYCHKIN Anton | 76 |
| 20 | DE JONGE Maarten | 65 |
| 21 | STÖHR Ján | 72 |
| 23 | GROŠELJ Matic | 70 |
| 24 | OKAMOTO Hayato | 65 |
| 25 | FRAHM Jasper | 90 |