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 = 3.5 * weight - 209
This means that on average for every extra kilogram weight a rider loses 3.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | STEVIĆ Ivan | 66 |
| 4 | TROFIMOV Yuri | 59 |
| 5 | GERGANOV Evgeni | 60 |
| 6 | KVASINA Matija | 72 |
| 7 | RATTI Eddy | 64 |
| 11 | RAIMBEKOV Bolat | 66 |
| 26 | SCHEIRLINCKX Bert | 67 |
| 37 | RENEV Sergey | 68 |
| 38 | VORGANOV Eduard | 65 |
| 44 | BUTS Vitaliy | 68 |
| 48 | KÜÇÜKBAY Kemal | 70 |
| 77 | KOGUT Volodymyr | 73 |