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 = 4.5 * weight - 276
This means that on average for every extra kilogram weight a rider loses 4.5 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 2 | ZABEL Erik | 69 |
| 3 | STEELS Tom | 73 |
| 4 | MCEWEN Robbie | 67 |
| 5 | VAN PETEGEM Peter | 70 |
| 6 | JALABERT Nicolas | 68 |
| 7 | JALABERT Laurent | 66 |
| 9 | MARTÍN PERDIGUERO Miguel Ángel | 63 |
| 13 | ETXEBARRIA Unai | 68 |
| 14 | OSA Unai | 65 |
| 36 | PEETERS Wilfried | 76 |
| 85 | BOMANS Carlo | 74 |
| 127 | MATTAN Nico | 69 |
| 128 | MUSEEUW Johan | 71 |