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 + 24
This means that on average for every extra kilogram weight a rider loses -0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KANTER Max | 68 |
| 2 | SCHÖNBERGER Sebastian | 64 |
| 5 | KUKRLE Michael | 73 |
| 6 | PELIKÁN János | 76 |
| 8 | SCHACHMANN Maximilian | 71 |
| 10 | SOBALLA Carl | 71 |
| 12 | NEUMAN Dominik | 72 |
| 13 | SCHLEMMER Lukas | 64 |
| 14 | GAMPER Patrick | 80 |
| 15 | KATRAŠNIK Gašper | 69 |
| 16 | JABRAYILOV Samir | 52 |
| 18 | SIPOS Marek | 65 |
| 20 | SCHORMAIR Fabian | 64 |
| 21 | MEILER Lukas | 65 |
| 22 | AASVOLD Kristian | 61 |
| 23 | PER David | 81 |
| 25 | PER Gorazd | 68 |