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 = 1.9 * weight - 92
This means that on average for every extra kilogram weight a rider loses 1.9 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | TROFIMOV Yuri | 59 |
| 5 | BOMMEL Henning | 75 |
| 8 | KVASINA Matija | 72 |
| 18 | BRONIŠ Roman | 74 |
| 23 | JOVANOVIĆ Nebojša | 60 |
| 25 | HORTON Tobyn | 70 |
| 29 | HRISTOV Stefan Koychev | 57 |
| 40 | MARIN Matej | 67 |
| 55 | TAMOURIDIS Ioannis | 70 |
| 65 | LLOYD Daniel | 70 |
| 68 | STEIG Csaba | 72 |
| 75 | LAMPATER Leif | 75 |
| 86 | BENGSCH Robert | 85 |