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 = -0.8 * weight + 74
This means that on average for every extra kilogram weight a rider loses -0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORMAN LETH Lasse | 75 |
| 2 | VAKOČ Petr | 68 |
| 4 | PELLAUD Simon | 70 |
| 5 | CHAVANNE Gabriel | 83 |
| 6 | AYAZBAYEV Maxat | 75 |
| 7 | CRADDOCK Lawson | 69 |
| 10 | JULIUS Jayde | 59 |
| 11 | LIENHARD Fabian | 73 |
| 12 | KÜNG Stefan | 83 |
| 39 | THALMANN Roland | 61 |
| 57 | FORSTER Lars | 68 |