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 + 44
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | LUNDER Eirik | 78 |
| 2 | NOLDE Tobias | 79 |
| 3 | ŠTOČEK Matúš | 80 |
| 4 | PELTONEN Ukko Iisakki | 69 |
| 5 | GUDMESTAD Tord | 82 |
| 7 | BABOR Daniel | 79 |
| 8 | STOSZ Patryk | 70 |
| 10 | RUDYK Bartosz | 76 |
| 11 | BÁRTA Tomáš | 79 |
| 13 | FINKŠT Tilen | 70 |
| 14 | VAN DER HORST Dennis | 62 |
| 15 | VASILYEV Maksym | 70 |