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 = 1.8 * weight - 93
This means that on average for every extra kilogram weight a rider loses 1.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | TROFIMOV Yuri | 59 |
| 4 | KVASINA Matija | 72 |
| 10 | JOVANOVIĆ Nebojša | 60 |
| 11 | BOMMEL Henning | 75 |
| 14 | HRISTOV Stefan Koychev | 57 |
| 19 | BRONIŠ Roman | 74 |
| 32 | MARIN Matej | 67 |
| 44 | LAMPATER Leif | 75 |
| 45 | TAMOURIDIS Ioannis | 70 |
| 60 | HORTON Tobyn | 70 |
| 65 | STEIG Csaba | 72 |
| 70 | BENGSCH Robert | 85 |
| 78 | LLOYD Daniel | 70 |