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 * weight - 57
This means that on average for every extra kilogram weight a rider loses 1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | HØJ Frank | 80 |
| 3 | PLANCKAERT Jo | 70 |
| 4 | MATTAN Nico | 69 |
| 5 | MCEWEN Robbie | 67 |
| 6 | VAN HYFTE Paul | 70 |
| 7 | VAN PETEGEM Peter | 70 |
| 10 | STEELS Tom | 73 |
| 11 | WAUTERS Marc | 73 |
| 15 | PANKOV Oleg | 72 |
| 16 | VOSKAMP Bart | 75 |
| 17 | BOMANS Carlo | 74 |
| 18 | PEERS Chris | 73 |
| 20 | LEYSEN Bart | 75 |
| 21 | FEYS Wim | 80 |
| 26 | MIFUNE Masahiko | 70 |
| 29 | OMLOOP Geert | 78 |
| 30 | DE NEEF Steven | 75 |