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 = -0.3 * weight + 32
This means that on average for every extra kilogram weight a rider loses -0.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | TRATNIK Jan | 67 |
| 2 | ZURITA Francesc | 67 |
| 3 | KANTER Max | 68 |
| 4 | JENSEN August | 67 |
| 6 | SCHÖNBERGER Sebastian | 64 |
| 10 | HAGEN Carl Fredrik | 65 |
| 11 | ROGINA Radoslav | 70 |
| 12 | KATRAŠNIK Gašper | 69 |
| 13 | POZDNYAKOV Kirill | 67 |
| 16 | STÖHR Ján | 72 |
| 18 | SCHACHMANN Maximilian | 71 |
| 21 | JABRAYILOV Samir | 52 |
| 22 | GOLČER Jure | 66.5 |