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 = 0.2 * weight - 6
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | EWAN Caleb | 69 |
| 2 | BOASSON HAGEN Edvald | 75 |
| 3 | VIVIANI Elia | 67 |
| 4 | KRISTOFF Alexander | 78 |
| 5 | GAVIRIA Fernando | 71 |
| 6 | LAWLESS Chris | 72 |
| 7 | JONES Brenton | 81 |
| 8 | MAES Nikolas | 78 |
| 9 | ŠTYBAR Zdeněk | 68 |
| 10 | GERTS Floris | 71 |
| 11 | BEVIN Patrick | 75 |
| 12 | PASQUALON Andrea | 75 |
| 13 | WÜRTZ SCHMIDT Mads | 70 |
| 14 | SIEBERG Marcel | 80 |
| 15 | MEZGEC Luka | 72 |