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 = 0.6 * weight - 26
This means that on average for every extra kilogram weight a rider loses 0.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MARECZKO Jakub | 67 |
| 2 | MARINI Nicolas | 72 |
| 3 | DUQUE Leonardo Fabio | 59 |
| 6 | BOGDANOVIČS Māris | 68 |
| 7 | LIEPIŅŠ Emīls | 67 |
| 10 | FONZI Giuseppe | 63 |
| 12 | CORELLA Rene | 75 |
| 15 | WANG Meiyin | 70 |
| 16 | KASYANOV Oleksiy | 62 |
| 19 | SCHULTING Peter | 70 |
| 20 | GODOY Yonder | 64 |
| 23 | METLUSHENKO Yuri | 82 |
| 24 | GRAZIATO Massimo | 73 |
| 25 | GROSU Eduard-Michael | 68 |
| 26 | PRUUS Peeter | 71 |