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 = -1 * weight + 84
This means that on average for every extra kilogram weight a rider loses -1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | NORMAN LETH Lasse | 75 |
| 2 | VAKOČ Petr | 68 |
| 3 | CRADDOCK Lawson | 69 |
| 5 | AYAZBAYEV Maxat | 75 |
| 6 | PELLAUD Simon | 70 |
| 7 | KÜNG Stefan | 83 |
| 8 | CHAVANNE Gabriel | 83 |
| 10 | LIENHARD Fabian | 73 |
| 13 | JULIUS Jayde | 59 |
| 26 | FORSTER Lars | 68 |
| 53 | THALMANN Roland | 61 |