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:
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DOSTIYEV Ilkhan | 57 |
| 3 | DIMA Emil | 73 |
| 4 | SZÓSTKA Paweł | 63 |
| 5 | REMKHI Rudolf | 60 |
| 6 | KUBIŠ Lukáš | 70 |
| 7 | TONEATTI Davide | 65 |
| 8 | RAILEANU Cristian | 63 |
| 9 | BICHLMANN Daniel | 72 |
| 10 | PERNSTEINER Hermann | 55 |
| 12 | CURTO Edgar | 60 |
| 13 | ŠTOČEK Matúš | 80 |
| 14 | MCDUNPHY Conn | 70 |
| 15 | GARCÍA José María | 67 |
| 16 | GIERACKI Patryk | 71 |
| 17 | KÆMPE Stinus Bjerring | 59 |