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 = -0.5 * weight + 40
This means that on average for every extra kilogram weight a rider loses -0.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | JAKOBSEN Fabio | 78 |
| 2 | HOFLAND Moreno | 71 |
| 3 | ROOSEN Timo | 78 |
| 4 | JANSEN Amund Grøndahl | 83 |
| 5 | SISR František | 72 |
| 7 | BOASSON HAGEN Edvald | 75 |
| 8 | GROSU Eduard-Michael | 68 |
| 9 | SOTO Nelson Andrés | 66 |
| 10 | GERTS Floris | 71 |
| 11 | MEIJERS Jeroen | 68 |
| 12 | ALBASINI Michael | 65 |
| 13 | VAN GESTEL Dries | 74 |