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 = -1.6 * weight + 129
This means that on average for every extra kilogram weight a rider loses -1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | SHMIDT Artem | 76 |
| 2 | VAN MECHELEN Vlad | 73 |
| 4 | TSVETKOV Nikita | 67 |
| 8 | HARASIM Mihnea-Alexandru | 72 |
| 9 | YILMAZ Ramazan | 65 |
| 11 | BOBOSHEROV Farrukh | 71 |
| 12 | TAKHIROV Diyor | 71 |
| 27 | YUCA Emre | 65 |
| 32 | SILYKBEK Aslan | 65 |
| 34 | YILDIZ Mustafa | 75 |
| 40 | TROMAN Vladislav | 68 |
| 44 | VOROPAYEV Pavel | 57 |