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 = 0.5 * weight - 28
This means that on average for every extra kilogram weight a rider loses 0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | KUMP Marko | 68 |
| 3 | OOMEN Sam | 65 |
| 4 | ROGLIČ Primož | 65 |
| 6 | KATRAŠNIK Gašper | 69 |
| 7 | PÖSTLBERGER Lukas | 70 |
| 8 | PAVLIČ Marko | 65 |
| 9 | AVERIN Maksym | 74 |
| 10 | TAMOURIDIS Ioannis | 70 |
| 11 | STOSZ Patryk | 70 |
| 13 | NIKOLAEV Sergey | 66 |
| 14 | KOROŠEC Rok | 75 |
| 16 | KALOJÍROS Tomáš | 68 |