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 = 1.2 * weight - 41
This means that on average for every extra kilogram weight a rider loses 1.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 5 | STEVIĆ Ivan | 66 |
| 8 | KVASINA Matija | 72 |
| 10 | VORGANOV Eduard | 65 |
| 23 | JOVANOVIĆ Nebojša | 60 |
| 28 | RENEV Sergey | 68 |
| 31 | TROFIMOV Yuri | 59 |
| 36 | SCHEIRLINCKX Bert | 67 |
| 38 | RAIMBEKOV Bolat | 66 |
| 45 | KÜÇÜKBAY Kemal | 70 |
| 46 | KOGUT Volodymyr | 73 |
| 57 | GERGANOV Evgeni | 60 |
| 65 | BUTS Vitaliy | 68 |
| 88 | RATTI Eddy | 64 |
| 108 | ZEITS Andrey | 73 |