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 + 30
This means that on average for every extra kilogram weight a rider loses -0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LÜHRS Leslie | 83 |
| 3 | HOHMANN Lars | 73 |
| 4 | LAURANCE Axel | 63 |
| 8 | HUYS Branko | 77 |
| 10 | KARPENKO Gleb | 77 |
| 13 | CLYNHENS Toon | 61 |
| 14 | FRETIN Milan | 70 |
| 19 | KRIJNSEN Jelte | 73 |
| 22 | ROSNER Linus | 68 |
| 26 | HAYTER Leo | 66 |
| 48 | SZÉKELY Nathan | 75 |