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 - 76
This means that on average for every extra kilogram weight a rider loses 1.6 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | BOMMEL Henning | 75 |
| 4 | TAMOURIDIS Ioannis | 70 |
| 5 | MARIN Matej | 67 |
| 7 | TROFIMOV Yuri | 59 |
| 10 | KVASINA Matija | 72 |
| 18 | HRISTOV Stefan Koychev | 57 |
| 20 | JOVANOVIĆ Nebojša | 60 |
| 34 | BRONIŠ Roman | 74 |
| 48 | LAMPATER Leif | 75 |
| 61 | STEIG Csaba | 72 |
| 63 | BENGSCH Robert | 85 |
| 65 | HORTON Tobyn | 70 |
| 84 | LLOYD Daniel | 70 |