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 + 135
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 |
| 3 | VAN MECHELEN Vlad | 78 |
| 4 | HARASIM Mihnea-Alexandru | 72 |
| 6 | YILMAZ Ramazan | 65 |
| 9 | MIRZAKHANOV Kamran | 66 |
| 10 | BOBOSHEROV Farrukh | 71 |
| 11 | TSVETKOV Nikita | 67 |
| 12 | TAKHIROV Diyor | 71 |
| 13 | TROMAN Vladislav | 68 |
| 33 | TEKTURGANOV Aslan | 67 |
| 42 | YUCA Emre | 65 |
| 47 | VOROPAYEV Pavel | 57 |
| 48 | SILYKBEK Aslan | 65 |
| 52 | YILDIZ Mustafa | 75 |
| 58 | SURUGIU Alexandru Razvan | 68 |