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 - 77
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | KVASINA Matija | 72 |
| 3 | TROFIMOV Yuri | 59 |
| 4 | RATTI Eddy | 64 |
| 5 | STEVIĆ Ivan | 66 |
| 18 | RENEV Sergey | 68 |
| 28 | SCHEIRLINCKX Bert | 67 |
| 32 | GERGANOV Evgeni | 60 |
| 40 | KÜÇÜKBAY Kemal | 70 |
| 41 | VORGANOV Eduard | 65 |
| 47 | BUTS Vitaliy | 68 |
| 51 | RAIMBEKOV Bolat | 66 |
| 59 | KOGUT Volodymyr | 73 |