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 = 0.1 * weight + 5
This means that on average for every extra kilogram weight a rider loses 0.1 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | MILLAR David | 79 |
| 2 | PERON Andrea | 70 |
| 3 | EKIMOV Viatcheslav | 69 |
| 4 | BROŻYNA Tomasz | 65 |
| 5 | VAUGHTERS Jonathan | 64 |
| 6 | BARANOWSKI Dariusz | 68 |
| 7 | HAMILTON Tyler | 65 |
| 8 | ROUS Didier | 70 |
| 9 | VERBRUGGHE Rik | 70 |
| 10 | MANCEBO Francisco | 64 |
| 12 | JEKER Fabian | 72 |
| 13 | BASSONS Christophe | 74 |
| 14 | JULICH Bobby | 68 |
| 15 | MONCOUTIÉ David | 69 |
| 16 | VAN BON Léon | 72 |
| 17 | YAKOVLEV Serguei | 70 |