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 + 7
This means that on average for every extra kilogram weight a rider loses 0.2 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 4 | BOASSON HAGEN Edvald | 75 |
| 10 | VANTOMME Maxime | 63 |
| 11 | RUIJGH Rob | 64 |
| 12 | VAN VOOREN Steven | 75 |
| 14 | KREDER Michel | 67 |
| 16 | VANSPEYBROUCK Pieter | 76 |
| 18 | BAKELANTS Jan | 67 |
| 19 | JACOBS Pieter | 68 |
| 22 | NOLF Frederiek | 68 |
| 24 | STANNARD Ian | 83 |
| 29 | BAUGNIES Jérôme | 69 |
| 47 | TERPSTRA Mike | 64 |
| 53 | KRISTOFF Alexander | 78 |
| 66 | DUFRASNE Jonathan | 70 |