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 = -0.7 * weight + 90
This means that on average for every extra kilogram weight a rider loses -0.7 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | STEVIĆ Ivan | 66 |
| 4 | RATTI Eddy | 64 |
| 5 | MARIN Matej | 67 |
| 6 | VORGANOV Eduard | 65 |
| 8 | BUTS Vitaliy | 68 |
| 12 | KVASINA Matija | 72 |
| 14 | TROFIMOV Yuri | 59 |
| 27 | SCHEIRLINCKX Bert | 67 |
| 33 | KOGUT Volodymyr | 73 |
| 46 | KÜÇÜKBAY Kemal | 70 |
| 56 | GERGANOV Evgeni | 60 |
| 74 | ZEITS Andrey | 73 |
| 108 | RENEV Sergey | 68 |
| 115 | JOVANOVIĆ Nebojša | 60 |
| 116 | RAIMBEKOV Bolat | 66 |