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 = -1.9 * weight + 160
This means that on average for every extra kilogram weight a rider loses -1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | RATTI Eddy | 64 |
| 8 | KOGUT Volodymyr | 73 |
| 10 | BUTS Vitaliy | 68 |
| 13 | ZEITS Andrey | 73 |
| 14 | MARIN Matej | 67 |
| 16 | RAIMBEKOV Bolat | 66 |
| 21 | STEVIĆ Ivan | 66 |
| 29 | TROFIMOV Yuri | 59 |
| 40 | KVASINA Matija | 72 |
| 50 | VORGANOV Eduard | 65 |
| 56 | KÜÇÜKBAY Kemal | 70 |
| 57 | RENEV Sergey | 68 |
| 61 | SCHEIRLINCKX Bert | 67 |
| 89 | GERGANOV Evgeni | 60 |